MACHINE LEARNING MODELS BASED ON MOLECULAR DESCRIPTORS TO PREDICT HUMAN AND ENVIRONMENTAL TOXICOLOGICAL FACTORS IN CONTINENTAL FRESHWATER

Machine learning models based on molecular descriptors to predict human and environmental toxicological factors in continental freshwater

It is a real challenge for life cycle assessment practitioners to identify all relevant substances contributing to ecotoxicity.Once this identification has been made, the lack of corresponding ecotoxicity factors can make the results partial and difficult to interpret.So, it is a real and important challenge to provide ecotoxicity factors for a wid

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Geographical accessibility and spatial coverage modelling of public health care network in rural and remote India.

BackgroundLong distances to facilities, topographical constraints, inadequate service capacity of institutions and insufficient/ rudimentary road & transportation network culminate into unprecedented barriers to access.These barriers gets exacerbated in presence of external factors like conflict and political disruptions.Thus, this study was conduc

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