Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model.

In this computer world, huge data are generated in several fields. Statistics in the healthcare engineering provides data about many diseases and corresponding patient's information. These data help to evaluate a huge amount of data for identifying the unknown patterns in the diseases and are also utilized for predicting the disease.

Decolorization of safranin using Fissidens species and its ecotoxicological assessments: An in vitro and in silico approach.

Decolorization of safranin was investigated using Fissidens species in a batch system under optimized conditions. The decolorization efficiency was improved by optimizing the conditions such as initial pH (3-9), temperature (25-45 °C), initial dye concentration (10-50 mg/L), biosorbent dosage (100-500 mg/L) and contact time (1-6 days). Maximum decolorization (95%) was recorded at initial pH of 6 with dye concentration of 20 mg/L, biosorbent dosage of 200 mg/L at 30 °C and contact time of 2 days.

Influence of plant growth regulators (PGRs) and various additives on plant propagation of (Retz.) Wild: A recalcitrant bamboo species.

An efficient micropropagation protocol for high frequency plant regeneration was developed using nodal explants derived seedlings of which is an important multipurpose and edible bamboo species and recalcitrant to tissue culture. The nodal explants excised from 20-day-old seedlings were cultured on Murashige and Skoog (MS) medium fortified with various concentrations of 6-benzyl amino purine (BAP) and kinetin (KIN) (0.5-5.