Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.

Abstract: The present application provides a method for preparing a prelithiated positive electrode current collector, the method comprising the following steps: gasifying a lithium source in an evaporation chamber filled with a protective gas; enabling an aluminum foil layer to pass through the evaporation chamber and depositing the metal lithium on a surface of the aluminum foil layer by means of vapor deposition; and transferring the aluminum foil layer deposited with the metal lithium to an annealing chamber filled with a protective gas and performing high-temperature annealing to form a lithium-aluminum alloy layer on the surface of the aluminum foil layer.

Abstract: The invention relates to a method for preparing high-stability liquid blueberry anthocyanins, belonging to the field of food processing. A method for preparing high-stability liquid blueberry anthocyanins comprises the following process steps: adding graphene oxide and chitosan to an MES buffer solution at room temperature, mixing homogeneously and adding EDC and NHS sequentially, reacting to obtain a first solution; adding dry blueberry anthocyanin powder in the first solution, adjusting pH to 4.5 to 5.0 and mixing homogeneously to obtain a second solution, and treating the second solution at 350 to 420 MPa and 2 to 4° C. to obtain the product. The method for increasing the stability of blueberry anthocyanins provided by the present invention uses dry blueberry anthocyanin powder as a raw material and adds graphene oxide combined with chitosan compound as an anthocyanin stabilizer, thereby increasing the stability of blueberry anthocyanins during processing and production.

Abstract: Disclosed are a photovoltaic energy storage offline coordination system and method based on demand management. The system includes a photovoltaic generator set, an inverter, a dispatch and control device for charge-discharge, a load monitor, a first and second energy storage device, and a remote console. The photovoltaic generator set is electrically connected to the dispatch and control device for charge-discharge via the inverter; the first energy storage device is connected to a load-side power supply bus via a first dispatch and control unit; the second energy storage device is connected to the load-side power supply bus via a third dispatch and control unit; a second dispatch and control unit is connected to the load-side power supply bus; the load monitor is provided at the load-side power supply bus, and configured to monitor a load of the load-side.

Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.

Abstract: A prediction system of an online system deploys one or more machine-learned architectures to generate predictions. In one embodiment, the machine-learned architecture is a stacked ensemble model. The stacked ensemble model includes a plurality of base models, where a base model is coupled to receive input data and generate a base prediction for the input data. The stacked ensemble model includes a meta model that combines the base predictions to generate a meta prediction for the input data. The prediction system also generates a reliability measure that takes advantage of the base predictions to evaluate the reliability of the meta prediction. In this manner, while the quality of individual predictions may differ from one another depending on the values of the input data, the prediction system can dynamically generate the reliability measure to account for this variation.

Abstract: This disclosure discloses a display method performed by an electronic device which includes a first screen, a foldable screen, and a first camera. The foldable screen may be folded into a second screen and a third screen. Orientations of the first screen and the second screen are opposite. The method includes: when it is determined that the electronic device is in a first preset posture, displaying a first user interface on the first screen, where the first user interface includes an image captured by the first camera; when it is determined that the electronic device is in a second preset posture, displaying a second user interface on the second screen, where the second user interface includes an image captured by the second camera. In this way, in a specific posture of the electronic device, a corresponding camera and display are automatically started for real-time preview, thereby avoiding complex user operations.

Abstract: An electronic device operation method and an electronic device, where the electronic device includes a first touchscreen and a second touchscreen, the first touchscreen and an earpiece are located on a first surface of the electronic device, the second touchscreen is located on a second surface of the electronic device, and the first surface is different from the second surface. The method includes displaying, by the electronic device, a first screen on the second touchscreen in response to receiving an incoming call, and displaying prompt information on the second touchscreen, where the prompt information prompts a user to answer the incoming call by using the earpiece on the first screen.

Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

Abstract: A method includes displaying, by an electronic device, a first screen on a second touchscreen in response to receiving an incoming call, where an incoming call number, a first control, and a second control are displayed on the first screen. When the first control is triggered, the electronic device establishes a call with an electronic device corresponding to the incoming call number, or when the second control is triggered, the electronic device refuses to establish a call with an electronic device corresponding to the incoming call number; and displaying prompt information on the second touchscreen, where the prompt information is used to prompt a user to answer the incoming call by using the earpiece on the first screen.

Abstract: Systems and methods for processing sensor data and end-of-life detection are provided. In some embodiments, a method for determining the end-of-life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end-of-life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, non-stationary noise and a duration of noise. An end-of-life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end-of-life status of the analyte sensor is provided.

Abstract: Systems and methods for managing an animated emoji playback are provided. In particular, a server may monitor user interactions, wherein the user interactions include users interacting with objects of other users. The server may detect an action performed by a first user of the users on an object of a second user of the users and determine if the detected action is a triggering action defined by the second user that triggers a playback of an animated emoji of the second user. In response to determining that the detected action is the triggering action, the server may preset the playback of the animated emoji of the second user to the first user.

Abstract: Systems and methods for managing a presentation of a dynamic profile photo are provided. In particular, a server may receive contextual information associated with one or more users. The server may determine that the contextual information is consistent with a predetermined contextual action. In some examples, the server may identify a dynamic profile photo associated with the predetermined contextual information; and present, in response to the determination that the contextual information is consistent with the predetermined contextual action, the dynamic profile photo to the one or more users.

Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object. The object may be associated with a location. One or more pre-stored files may be determined based on the location. The one or more pre-stored files may each correspond to one or more objects proximate to the location. Each of the one or more pre-stored files may comprise data indicative of a corresponding object. The object may be recognized based on comparing the features extracted from the image with data comprised in the one or more pre-stored files. An asset item may be received in response to recognizing the object.

Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object and captured by a camera. The object may be associated with a location. The location may be determined based on information indicating a position where the camera is located. The object may be recognized based at least in part on the features extracted from the image. An asset item may be displayed in response to recognizing the object.

Abstract: This application discloses a display method for a foldable screen, applied to an electronic device including a foldable screen. The foldable screen can be folded to form at least two screens, and the at least two screens may include a first screen and a second screen. The method includes: When the foldable screen is in an expanded state, the electronic device displays a first interface of a first application in full screen on the foldable screen. The first interface includes an image captured by a camera. When detecting that the foldable screen changes from the expanded state to a half-folded state, the electronic device displays a second interface on the first screen. In this way, a user can conveniently perform photographing, video calling, live broadcasting, or the like without holding the electronic device steady with both hands.

Abstract: Methods, computer readable media, and devices for determining a hyperparameter for influencing non-local samples in machine learning are disclosed. One method may include identifying a set of local samples associated with a first entity, identifying a set of non-local samples comprising samples associated with a plurality of entities other than the first entity, assigning a local sample weight to one or more samples of the set of local samples, determining a range of non-local sample weights, determining a range of hyperparameters based on the range of non-local sample weights, determining an optimized hyperparameter based on the range of hyperparameters, assigning an optimized non-local sample weight to one or more samples of the set of non-local samples, and generating a prediction using machine learning.

Abstract: A fingerprint prompt pattern display method includes obtaining a first trigger instruction, where the first trigger instruction is used to instruct to display a fingerprint prompt pattern; and displaying N preset fingerprint prompt patterns in a fingerprint prompt area in turn, where display positions of displaying the N fingerprint prompt patterns in the fingerprint prompt area do not completely overlap, and N is an integer greater than or equal to 2.

Abstract: A screen control method and a terminal. The method is applied to a terminal that has a touchscreen and a screen fingerprint sensor. The method includes: when the touchscreen is in a lighted state, receiving, by the terminal, a first touch operation; obtaining, by the terminal, texture information and touch information of the first touch operation by using the touchscreen and the screen fingerprint sensor, where the texture information is skin texture information corresponding to the first touch operation, and the touch information includes at least one of a touch position and a touch area; and turning off, by the terminal, the touchscreen based on the texture information and the touch information.