Objective. To investigate antidiabetic activity of hydroalcoholic extract of Cestrum nocturnum leaves in Wistar rats. Method. Cestrum nocturnum leaves extract in hydroalcoholic solution were prepared by Soxhletation method and stored in refrigerator at 4°C for two days before use. Wistar rats were made diabetic by a single dose of streptozotocin (150 mg/kg i.p.). Hydroalcoholic leaves extract of Cestrum nocturnum was screened for antidiabetic activity and given to the STZ-induced diabetic rats at a concentration of 200 mg/kg and 400 mg/kg of body weight in different groups of 6 diabetic rats each orally once a day for 15 days. Metformin is also given to another group to support the result at a dose of 10 mg/kg of body weight orally once a day for 15 days. Blood glucose levels and body weights of rats were measured on 0, 5, 7, and 15th days. Results. Oral administration of the extracts for 15 days caused a significant (P < 0.01) reduction in blood glucose levels in diabetic rats. The body weight of diabetic animals was also improved after daily administration of extracts. The extract also improved other altered biochemical parameters associated with diabetes. Also the changes in food intake, water intake, and weight of internal organs were also restored to normal by the prolonged effect of extract treatment.

Nature is a good source of inspirations for us. The algorithms developed from the nature are most powerful algorithms for optimizing many complex engineering design problems having multiple objectives (multi-objective). This paper presents an hybrid algorithm based on Multi-objective Big bang-Big Crunch (MOBB-BC) nature-inspired optimization algorithm with Genetic crossover and Differential evolution (DE) mutation operators for solving the minimum length ruler called Optimal Golomb ruler (OGR) as channel-allocation problem to reduce four-wave mixing crosstalk (FWM) effects in optical wavelength division multiplexing (WDM) systems. The comparative study of simulation results obtained by proposed hybrid Multi-objective BB-BC (HMOBB-BC) algorithm demonstrates better and efficient generation of OGRs in a reasonable computational time compared to simple BB-BC algorithm and one of the existing nature-inspired algorithms i.e. Genetic algorithm (GA). Also, the proposed hybrid algorithm outperforms the two existing conventional algorithms i.e. Extended quadratic congruence (EQC) and Search algorithm (SA), in terms of ruler length and total channel bandwidth.

No abstract

No abstract

Inhibition of α- amylase play a vital role in the clinical management of postprandial hyperglycemia. Although, powerful synthetic inhibitors are available, natural inhibitors are potentially safer. The present study was carried out to evaluate α- amylase inhibition activity from hydroalcoholic extracts from aerial parts of Cestrum nocturnum. Hydroalcoholic extract was prepared by Soxhletation Method. The extract showed strong inhibition towards α- amylase activity and IC50 value were 45.9 μg. This In vitro studies indicate the potential of C. nocturnum in the development of effective anti-diabetic agents.