Abstract: Provided is a computer-implemented method for monitoring and improving data quality of transaction data that may include conducting data pre-processing on transaction data associated with a plurality of payment transactions; determining feature values associated with a textual data field in each transaction record of a plurality of transaction records included in the transaction data associated with the plurality of payment transactions, wherein the feature values are used in a parsing layer of a natural language processing (NLP) model after conducting data pre-processing on the transaction data associated with the plurality of payment transactions; and determining whether the feature values associated with the textual data field satisfy one or more rules associated with the parsing layer of the NLP model.

Abstract: A method of making a multicomponent photocatalyst, includes inducing precipitation from a pre-cursor solution comprising a pre-cursor of a plasmonic material and a pre-cursor of a reactive component to form co-precipitated particles; collecting the co-precipitated particles; and annealing the co-precipitated particles to form the multicomponent photocatalyst comprising a reactive component optically, thermally, or electronically coupled to a plasmonic material.

Abstract: A multicomponent photocatalyst includes a reactive component optically, electronically, or thermally coupled to a plasmonic material. A method of performing a catalytic reaction includes loading a multicomponent photocatalyst including a reactive component optically, electronically, or thermally coupled to a plasmonic material into a reaction chamber, introducing molecular reactants into the reaction chamber, and illuminating the reaction chamber with a light source.