PREDICTION OF GROUNDWATER ARSENIC CONTAMINATION USING GEOGRAPHIC INFORMATION SYSTEM AND ARTIFICIAL NEURAL NETWORK

Ground water arsenic contamination is a well known health and environmental problem in Bangladesh.Sources of this heavy metal are known to be geogenic, however, the processes of its release into groundwater are poorly understood valhalla axys phenomena.In quest of mitigation of the problem it is necessary to predict probable contamination before it

Despite decades of research on the nematode C.elegans, it still contains many hidden secrets.One such is the function of the prominent organelles known as gut granules, which are numerous in the intestinal cells read more of nematodes throughout the suborder Rhabditina.A striking feature of gut granules is the blue fluorescence that they emit under