Abstract: A data classification method and apparatus, a device and a storage medium. A structural feature of the respective node in graph data may be determined according to a neighbor node of the respective node in the graph data through a deviation between the decoded feature obtained by decoding the embedded coding feature of the respective node in the graph data and the initial feature of the respective node, and then the embedded coding feature corresponding to the respective node is adjusted according to the decoded feature of the respective node and the structural feature of the respective node in the graph data to obtain the adjusted feature corresponding to the respective node, so that accuracy of an obtained feature of the respective node is improved, and thus accuracy of data classification may be improved.

Abstract: A method of predicting infectious disease infections and a system thereof, a device, and a storage medium are provided. An increment module controls an input module to obtain new incremental data in the current cycle in response to a preset instruction. A graph engine iteratively trains a first graph model based on new incremental data until the first graph model meets a convergence condition, so as to obtain a second graph model and perform dynamic updating of the graph model. Each region acts as a node in the graph model, each node feature is obtained based on the regional disease information, edges are defined by nodes connected to each other according to a geographic location relationship among regions, and each edge is assigned an edge weight according to regional population information. The updated graph model predicts infections based on data to be predicted that is selected by the interaction module.

Abstract: A data classification method and apparatus, a device and a storage medium. A structural feature of the respective node in graph data may be determined according to a neighbor node of the respective node in the graph data through a deviation between the decoded feature obtained by decoding the embedded coding feature of the respective node in the graph data and the initial feature of the respective node, and then the embedded coding feature corresponding to the respective node is adjusted according to the decoded feature of the respective node and the structural feature of the respective node in the graph data to obtain the adjusted feature corresponding to the respective node, so that accuracy of an obtained feature of the respective node is improved, and thus accuracy of data classification may be improved.

Abstract: Methods, apparatuses, and computer readable media for clear-to-send duration field adjustments are disclosed. Apparatuses of a station (STA) are disclosed, where the apparatuses comprise processing circuitry configured to: decode a physical layer protocol data unit (PPDU), the PPDU including a request to send (RTS) frame, the RTS frame comprising an address of the STA and a first duration field, the first duration field indicating a first duration. The processing circuitry is further configured to: setting a second duration to a duration that ends before a transmission and encoding for transmission a clear-to-send (CTS) frame, the CTS frame comprising a second duration field, the second duration field indicating the reduced second duration.

Abstract: Biological chemicals, potentially found in blood are measured by collecting sweat and determining the concentration or meaning of the selected chemical in sweat. The sweat can be collected using a time based, interval collector and analyzed using an external device. It can also be collected on a one time basis, using a flexible, chemical capacitor, or on a continuous basis using a chemical, field effect transducer.

Abstract: Biological chemicals, potentially found in blood are measured by collecting sweat and determining the concentration or meaning of the selected chemical in sweat. The sweat can be collected using a time based, interval collector and analyzed using an external device. It can also be collected on a one time basis, using a flexible, chemical capacitor, or on a continuous basis using a chemical, field effect transducer.

Abstract: Biological chemicals, potentially found in blood are measured by collecting sweat and determining the concentration or meaning of the selected chemical in sweat. The sweat can be collected using a time based, interval collector 10 and analyzed using an external device. It can also be collected on a one time basis, using a flexible, chemical capacitor 50, or on a continuous basis using a chemical, field effect transducer 98.

Abstract: Biological chemicals, potentially found in blood are measured by collecting sweat and determining the concentration or meaning of the selected chemical in sweat. The sweat can be collected using a time based, interval collector and analyzed using an external device. It can also be collected on a one time basis, using a flexible, chemical capacitor, or on a continuous basis using a chemical, field effect transducer.