Sparse BSS from Poisson Measurements.

The problem of sparse Blind Source Separation (BSS) has been extensively studied when the noise is additive and Gaussian. This is however not the case when the measurements follow Poisson or shot noise statistics, which is customary with counting-based measurements. To that purpose, we introduce a novel sparse BSS algorithm coined pGMCA (poisson-Generalized Morphological Component Analysis) that specifically tackles the blind separation of sparse sources from measurements following Poisson statistics.

Presence of enteric viruses in water samples for consumption in Colombia: Challenges for supply systems.

Introduction: Since drinking water can be a vehicle for the transmission of pathogens, the detection of enteric viruses in these water samples is essential to establish the appropriate measures to control and prevent associated diseases. 

Objective: To analyze the results obtained for enteric viruses in water samples for human consumption received at the Colombian Instituto Nacional de Salud and establish their association with the data on water quality in Colombian municipalities. 

Materials And Methods: We conducted a descriptive-retrospective analysis of the results obtained in the detection of rotavirus, enterovirus, hepatitis A virus and adenovirus in water samples received for complementary studies of enteric hepatitis, acute diarrheal disease and foodborne diseases.