Abstract: A method for screening pesticide residues in medicine food homology (MFH) characteristic agricultural products includes step 1, a liquid chromatography-mass spectrometry database of pesticides is constructed, standard solution are prepared for the pesticides and liquid chromatography and mass spectrometry are used to detect the standard solutions; step 2, a sample is processed and then is detected to obtain a liquid chromatography-mass spectrogram; step 3, the liquid chromatography-mass spectrogram obtained from step 2 and liquid chromatography-mass spectrograms in the liquid chromatography-mass spectrometry database obtained from step 1 are compared and analyzed individually.

Abstract: Methods and systems are disclosed for managing access to encrypted data and encryption keys. The system stores, by a key management server, a first encryption key associated with a first service and a second encryption key associated with a second service. The system prevents, by the key management server, the second service from accessing the second encryption key while the first service is performing a first function using the first encryption key and determines that a first threshold period of time associated with the first function has elapsed. The system, in response to determining that the first threshold period of time associated with the first function has elapsed, prevents, by the key management server, the first service from accessing the first encryption key while the second service is performing a second function using the second encryption key.

Abstract: Systems and methods are described for computing a quantitative index that characterizes Alzheimer's disease (“AD”) risk events based on a temporally ordered sequence of biomarker events. In general, the systems and methods described here implement a modified event-based probabilistic (“EBP”) model to calculate the risk index from biomarker data.

Abstract: Systems and methods are described for computing a quantitative index that characterizes Alzheimer's disease (“AD”) risk events based on a temporally ordered sequence of biomarker events. In general, the systems and methods described here implement a modified event-based probabilistic (“EBP”) model to calculate the risk index from biomarker data.

Abstract: A method for parallel maintenance of data consistency includes: 1) a node broadcasts requests to other nodes in a network, request a synchronization data block of current synchronization cycle, and calculates a synchronization anchor of this synchronization cycle; 2) for node i requiring data feeding, writing the synchronization anchor of the current synchronization cycle in data block A0, and to produce an array [A]N based on the requirement; data block A0 is the provision that is be added into consistency data in the current synchronization cycle; 3) each node builds its own array [A]N in parallel and broadcasts the array; and 4) the node filters all received arrays of [A]N by the synchronization anchor of array, discards invalid data, and thereafter builds the synchronization data block for the next synchronization cycle.

Abstract: A a method for generating and maintaining trusted data in a network environment includes: 1) initializing a data block [A]0 and shared computation rules, and broadcasting the same to the network; 2) acknowledging a node of the data block [A]0 as a participating node; when new data A needs to be added, n participating nodes independently computing a candidate data block [A]T of [A]1 according to the shared computation rules, and broadcasting the same to the other n?1 participating nodes, wherein [A]1 is a data block containing the newly added data A; 3) The n participating nodes determine an acknowledged candidate result [A]Y according to a monitored broadcast packet; and 4) the participating nodes computing the monitored [A]T/[A]Y, and, when the computation result satisfies a predetermined condition, the participating node determining the computation result thereof as an acknowledged result and broadcasting the same.

Abstract: The present invention discloses a data-driven three-stage scheduling method for electricity, heat and gas networks based on wind electricity indeterminacy, including the following steps: S1, initializing; S2, establishing a deterministic electricity-heat-gas coordination optimized scheduling model; S3, establishing a data-driven distributed robust scheduling optimization model under mixed norms; S4, solving a master economic scheduling problem; S5, verifying convergence of a wind electricity indeterminacy subproblem: if the subproblem converges, going to step S6, otherwise going to step S4 and adding a constraint to the master economic scheduling problem by using a CCG algorithm; and S6, checking the convergence of a gas network operation constraint subproblem: if the gas network operation constraint subproblem converges, ending the calculation to obtain an optimal solution, otherwise, going to step S4 and adding a Benders cut set constraint to the master economic scheduling problem.

Abstract: A method is disclosed for accumulating and co-assembling consistent data.

Abstract: A method and a system for strategy-based digital asset trading are disclosed. The method includes: 1) generating an ownership identifier for a digital asset; 2) setting, in a transaction server, a transaction strategy for a digital asset owner associated with each ownership identifier; and 3) performing, by the transaction server, transaction matching and pricing according to a transaction strategy of a digital asset purchaser and the transaction strategy set for the ownership identifier. The method removes a bottleneck of human dealmaking in digital asset transactions, by performing direct matching of a supplier and a buyer of a fragmented transaction, thereby solving a low-efficiency problem in digital asset transactions in the Internet era.

Abstract: A method is disclosed for accumulating and co-assembling consistent data.