Abstract: The disclosure discloses a milk protein concentrate-based microencapsulation wall material and microcapsules, and belongs to the technical field of microcapsule preparation. In the disclosure, liquid or solid microcapsules are prepared by performing cation exchange treatment on milk protein concentrates, and then using the treated milk protein concentrates as a wall material. The prepared microcapsules have good physical and chemical stability during storage, and are suitable for protecting active functional factors and to be applied in the fields of food, medicine, health care products, cosmetics, daily chemicals and the like.

Abstract: In some examples, a semiconductor package comprises an electrically conductive surface and a bond wire coupled to the electrically conductive surface. The bond wire includes a first stitch bond coupled to the electrically conductive surface, and a second stitch bond contiguous with the first stitch bond and coupled to the electrically conductive surface. The second stitch bond is partially, but not completely, overlapping with the first stitch bond.

Abstract: Disclosed is a charging station capable of realizing mutual capacity aid, which comprises a plurality of charging units, a power bus and a mutual capacity aid bus. Each charging unit is powered by the power bus, and each charging unit provides mutual aid capacity for another charging unit through the mutual capacity aid bus or receives mutual aid capacity from other charging units through the mutual capacity aid bus. The charging station can realize rapid charging of electric vehicles, and can also realize mutual capacity aid.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for switching contexts in a browser-based application. In one aspect, a system includes a browser execution module configured to receive a request to load a browser-based application with first context data, request application data and the first context data, and receive the application data and the first context data. The system includes a state machine module configured to generate a state machine to access and store context data and load the application with the first context data by storing the first context data in the state machine. The system further includes a state change module configured to intercept a request to load the application with second context data for a second application account, request the second context data, and updated the application with the second context data by storing the second context data in the state machine.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for switching contexts in a browser-based application. In one aspect, a system includes a browser execution module configured to receive a request to load a browser-based application with first context data, request application data and the first context data, and receive the application data and the first context data. The system includes a state machine module configured to generate a state machine to access and store context data and load the application with the first context data by storing the first context data in the state machine. The system further includes a state change module configured to intercept a request to load the application with second context data for a second application account, request the second context data, and updated the application with the second context data by storing the second context data in the state machine.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for switching contexts in a browser-based application. In one aspect, a system includes a browser execution module configured to receive a request to load a browser-based application with first context data, request application data and the first context data, and receive the application data and the first context data. The system includes a state machine module configured to generate a state machine to access and store context data and load the application with the first context data by storing the first context data in the state machine. The system further includes a state change module configured to intercept a request to load the application with second context data for a second application account, request the second context data, and updated the application with the second context data by storing the second context data in the state machine.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: This document describes systems, methods, devices, and other techniques for monitoring the performance of activities executed at a computing device. In some implementations, a computing device receives a user input to invoke performance of an activity by the computing device. Multiple portions of computer code associated with the activity can be identified. For each portion of computer code, (i) the respective portion of computer code can be executed, and (ii) data can be recorded about the executing of the respective portion of computer code that indicates a time duration of the executing of the respective portion of computer code. A total time to completion of the activity can be provided based at least in part on aggregating the recorded data about the executing of the multiple portions of computer code.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for switching contexts in a browser-based application. In one aspect, a system includes a browser execution module configured to receive a request to load a browser-based application with first context data, request application data and the first context data, and receive the application data and the first context data. The system includes a state machine module configured to generate a state machine to access and store context data and load the application with the first context data by storing the first context data in the state machine. The system further includes a state change module configured to intercept a request to load the application with second context data for a second application account, request the second context data, and updated the application with the second context data by storing the second context data in the state machine.

Abstract: The subject matter of this specification generally relates to pre-caching data for a predicted future action. In some implementations, a client device includes a data storage device having a cache that stores data received for one or more mobile applications and a data processing apparatus that communicates with the data storage device and a display. A user interface context can be determined for a given user interface being presented for a given application. A predicted next action that a user of the client device will perform at the given user interface can be determined based on the user interface context. Prior to detecting the predicted next action, a request for next action data that will be presented in response to the user performing the predicted next action can be transmitted over a network. The next action data can be received and stored in the cache.

Abstract: This document describes systems, methods, devices, and other techniques for monitoring the performance of activities executed at a computing device. In some implementations, a computing device receives a user input to invoke performance of an activity by the computing device. Multiple portions of computer code associated with the activity can be identified. For each portion of computer code, (i) the respective portion of computer code can be executed, and (ii) data can be recorded about the executing of the respective portion of computer code that indicates a time duration of the executing of the respective portion of computer code. A total time to completion of the activity can be provided based at least in part on aggregating the recorded data about the executing of the multiple portions of computer code.