Abstract: A portable display unit 3000, 3500, 4000 for a breathing assistance apparatus, the portable display unit comprising: a display unit housing 3001, 3501, 4000; a screen 3051, 3551, 4051; and a tethering component for tethering the portable display unit 3000, 3500, 4000 with abase unit 50 of the breathing assistance apparatus.

Abstract: An electrically insulating gas composition comprises C3F7CN, in an amount between 22% and 70% by volume and one or more inert gas selected from the list consisting of nitrogen, carbon dioxide (CO2), air and argon.

Abstract: Methods and apparatus, including computer programs encoded on computer storage media, for monitoring resource transfer are provided.

Abstract: A model integration method and device are provided. The method includes: obtaining an integrated model, the integrated model having one integrated output value and a plurality of input values, the plurality of input values corresponding to a plurality of output values of a plurality of independent models; performing one or more iterations of optimizing process until a preset iteration stop condition is satisfied: acquiring a prediction output by the integrated model based on a preset test event set; determining an index value of the integrated model based on the prediction output, the index value indicates a performance evaluation of the integrated model; if the index value fails to meet a preset performance requirement; after the preset iteration stop condition is satisfied, determining the integrated model as acceptable.

Abstract: Implementations of the present specification provide a fraud gang identification method and device. The method includes: constructing a relational network that includes a plurality of nodes; performing cluster discovery based on the relational network to obtain at least one fraud gang included in the relational network, each fraud gang including the plurality of nodes; determining a weak node from the nodes included in the fraud gang, the weak node being a node whose association with the fraud gang meets a weak association criterion; and removing the weak node from the fraud gang to identify a final target fraud gang.

Abstract: Methods and apparatus, including computer programs encoded on computer storage media, for monitoring resource transfer are provided.

Abstract: A model integration method and device are provided. The method includes: obtaining an integrated model, the integrated model having one integrated output value and a plurality of input values, the plurality of input values corresponding to a plurality of output values of a plurality of independent models; performing one or more iterations of optimizing process until a preset iteration stop condition is satisfied: acquiring a prediction output by the integrated model based on a preset test event set; determining an index value of the integrated model based on the prediction output, the index value indicates a performance evaluation of the integrated model; if the index value fails to meet a preset performance requirement; after the preset iteration stop condition is satisfied, determining the integrated model as acceptable.

Abstract: A system and method for generating ultimate reason codes for computer models is provided. The system for generating ultimate reason codes for computer models comprising a computer system for receiving a data set, and an ultimate reason code generation engine stored on the computer system which, when executed by the computer system, causes the computer system to train a base model with a plurality of reason codes, wherein each reason code includes one or more variables, each of which belongs to only one reason code, train a subsequent model using a subset of the plurality of reason codes, determine whether a high score exists in the base model, determine a scored difference if a high score exists in the base model, and designate a reason code having a largest drop of score as an ultimate reason code.

Abstract: Methods, systems, and computer-readable storage media for risk identification of service data using operations of determining, by a client-side computing device, a first service data corresponding to a first operation behavior associated with a user input on the client-side computing device, determining, by the client-side computing device, a first variable corresponding to the first service data, the first variable including a first eigenvalue, retrieving, by the client-side computing device, a second eigenvalue corresponding to a second operation behavior that was performed at a second time before the first operation behavior, generating, by the client-side computing device, a decay value by processing the first time and the second time a decay function, generating, by the client-side computing device, an aggregated data by processing the first variable, the second eigenvalue, and the decay value using an aggregation function, and determining, by the one or more processors, a risk associated with the first

Abstract: Methods, systems, and computer-readable storage media for risk identification of service data using operations of determining, by a client-side computing device, a first service data corresponding to a first operation behavior associated with a user input on the client-side computing device, determining, by the client-side computing device, a first variable corresponding to the first service data, the first variable including a first eigenvalue, retrieving, by the client-side computing device, a second eigenvalue corresponding to a second operation behavior that was performed at a second time before the first operation behavior, generating, by the client-side computing device, a decay value by processing the first time and the second time a decay function, generating, by the client-side computing device, an aggregated data by processing the first variable, the second eigenvalue, and the decay value using an aggregation function, and determining, by the one or more processors, a risk associated with the first

Abstract: A transaction risk detection method and device. The transaction risk detection method comprises: determining a current transaction account, and acquiring a history transaction record of the current transaction account, the history transaction record being determined according to LBS data of the current transaction account (S102); acquiring feature information of the current transaction account according to the history transaction record of the current transaction account (S104); and performing risk management and control according to the feature information (S106). The method can improve accuracy of transaction risk detection.

Abstract: A system and method for generating greedy reason codes for computer models is provided. The system for generating greedy reason codes for computer models, comprising a computer system for receiving and processing a computer model of a set of data, said computer model having at least one record scored by the model, and a greedy reason code generation engine stored on the computer system which, when executed by the computer system, causes the computer system to identify reason code variables that explain why a record of the model is scored high by the model, and build an approximate model to simulate a likelihood of a high score being generated by at least one of the reason code variables identified by the engine.

Abstract: A system and method for generating ultimate reason codes for computer models is provided. The system for generating ultimate reason codes for computer models comprising a computer system for receiving a data set, and an ultimate reason code generation engine stored on the computer system which, when executed by the computer system, causes the computer system to train a base model with a plurality of reason codes, wherein each reason code includes one or more variables, each of which belongs to only one reason code, train a subsequent model using a subset of the plurality of reason codes, determine whether a high score exists in the base model, determine a scored difference if a high score exists in the base model, and designate a reason code having a largest drop of score as an ultimate reason code.

Abstract: Methods and systems for identifying a primer pair for polymerase chain reaction specific to one or more target genomes. Methods and systems of the present disclosure can be used to identify primers that can distinguish between target genomes and closely related non-target genomes.

Abstract: Methods and systems for identifying a primer pair for polymerase chain reaction specific to one or more target genomes. Methods and systems of the present disclosure can be used to identify primers that can distinguish between target genomes and closely related non-target genomes.