CUTANEOUS FIELD CANCERIZATION: CLINICAL, HISTOPATHOLOGICAL AND THERAPEUTIC ASPECTS



Arsenic removal from water using marble powder waste: A comprehensive study on adsorption dynamics and machine learning predictions

Enhanced aqueous arsenite (As(III) removal by adsorption on Mug marble waste powder (MWP) in batch and continuous mode was investigated.A predictive (ML) algorithm was developed to predict arsenic removal by MWP.This study pioneers the use of ML applications on MWP.The batch-scale data revealed that the adsorption of arsenite on MWP can be best des

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