Abstract: The present disclosure relates to a harmless and recycling treatment method for kitchen waste. The method includes: step S1: sorting the kitchen waste, deodorizing the kitchen waste, and then implementing a solid-liquid separation to the kitchen waste to obtain solid and filtrate; step S2: adjusting pH of the filtrate to 12-13, adding a demulsifier to the filtrate, standing still, recovering an upper layer of oil and obtaining a lower layer of clear liquid; drying and burning the solid obtained in the step S1, to obtain biochar; and step S3: implementing an advanced oxidation treatment and a biochemical treatment to the lower layer of clear liquid obtained in the step S2, to obtain water. The method can effectively recycle the kitchen waste into resources, alleviate the social and environmental problems caused by the current kitchen waste, and the method is suitable for popularization and application.

Abstract: Embodiments of the present application relate to a method of controlling user risk, a system for controlling user risk, and a computer program product for controlling user risk. A method is provided. The method includes retrieving association data of a first user and association data of a second user, the association data including multidimensional data, and data relating to each dimension identifying a user and serving as an association dimension, based on the association data, computing an association value between the first user and the second user for an association dimension, gathering the association value to obtain a degree of real association, and determining that the other user is malicious.

Abstract: Determining a physical location of a client, including: determining a network transmission time associated with a first server and a network transmission time associated with a second server; determining a set of key parameters for the first server and a set of key parameters for the second server; determining a distance between the client and the first server and a distance between the client and the second server based at least in part on inputting the network transmission time associated with the first server, the network transmission time associated with the second server, the set of key parameters for the first server, and the set of key parameters for the second server into a data processing model; and determining the physical location associated with the client using the distance between the client and the first server and the distance between the client and the second server.

Abstract: Embodiments of the present application relate to a method of controlling user risk, a system for controlling user risk, and a computer program product for controlling user risk. A method is provided. The method includes retrieving association data of a first user and association data of a second user, the association data including multidimensional data, and data relating to each dimension identifying a user and serving as an association dimension, based on the association data, computing an association value between the first user and the second user for an association dimension, gathering the association value to obtain a degree of real association, and determining that the other user is malicious.

Abstract: Embodiments of the present application relate to a method of controlling user risk, a system for controlling user risk, and a computer program product for controlling user risk. A method is provided. The method includes retrieving association data of a first user and association data of a second user, the association data including multidimensional data, and data relating to each dimension identifying a user and serving as an association dimension, based on the association data, computing an association value between the first user and the second user for an association dimension, gathering the association value to obtain a degree of real association, and determining that the other user is malicious.

Abstract: Embodiments of the present application relate to a method of controlling user risk, a system for controlling user risk, and a computer program product for controlling user risk. A method is provided. The method includes retrieving association data of a first user and association data of a second user, the association data including multidimensional data, and data relating to each dimension identifying a user and serving as an association dimension, based on the association data, computing an association value between the first user and the second user for an association dimension, gathering the association value to obtain a degree of real association, and determining that the other user is malicious.