Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Abstract: A process for treating effluent wherein an oxidizing agent in the effluent is decomposed on contact with a catalyst bed. The oxidizing agent can be a pollutant present in the effluent, for example hypochlorite in the effluent from chlorine-producing brine electrolysis cells or from the scrubbing of chlorine gas. In an alternative the effluent may contain oxidizable pollutants and the oxidizing agent is purposefully added thereto. Passage over the catalyst bed catalyzes the decomposition of the oxidizing agent and oxidizable pollutants.The catalyst bed comprises an intimate mixture of an oxide of Group III, nickel oxide and, optionally, cobalt oxide, supported on pieces of a non-porous substantially inert material.