Abstract: An auxiliary test paper detection device includes a reagent cap and a test paper cassette. The reagent cap contains a detection reagent, a sealing member is arranged at an opening of the reagent cap. The sealing member can be opened or removed under action of external force. Test paper is arranged in the test paper cassette, a sample absorption section of the test paper is exposed, an observation window is formed in the test paper cassette. A result display area of the test paper corresponds to the observation window. A connecting structure for connecting the test paper cassette and the reagent cap is provided, and when the test paper cassette and the reagent cap are connected through the connecting structure, a closed space is formed in an inner cavity of the reagent cap. The sample absorption section of the test paper extends into the inner cavity of the reagent cap.

Abstract: A computer-implemented method is provided for model training performed by a processing system. The method comprises determining a set of first weights based on a first matrix associated with a source model, determining a set of second weights based on the set of first weights, forming a second matrix associated with a target model based on the set of first weights and the set of second weights, initializing the target model based on the second matrix, and training the target model.

Abstract: This disclosure relates to the field of artificial intelligence, and discloses a data processing method. The method includes: obtaining a transformer model including a target network layer and a target module; and processing to-be-processed data by using the transformer model, to obtain a data processing result. The target module is configured to: perform a target operation on a feature map output at the target network layer, to obtain an operation result, and fuse the operation result and the feature map output, to obtain an updated feature map output. In this disclosure, the target module is inserted into the transformer model, and the operation result generated by the target module and an input are fused, so that information carried in a feature map output by the target network layer of the transformer model is increased.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate, a pixel circuit layer and an anode layer; the pixel circuit layer includes a plurality of pixel driving circuits, the anode layer includes a plurality of anode groups, each of the plurality of anode groups includes a first anode and a second anode which are oppositely arranged, the first anode includes a first main body portion and a first connection portion, the first anode further includes an extension portion and an anode compensation portion, an orthographic projection of the anode compensation portion on the base substrate covers one thin film transistor in the pixel driving circuit connected to the first connection portion.

Abstract: A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.

Abstract: According to the embodiments of the disclosure, a multimedia processing method, device, electronic device, and storage medium are provided by obtaining a first multimedia resource; determining an initial text content corresponding to the first multimedia resource by performing speech recognition on audio data of the first multimedia resource, the audio data of the first multimedia resource comprises speech data of the initial text content; determining an invalid text content in the initial text content, the invalid text content is semantically non-informative; determining a first playing position of speech data of the invalid text content in the first multimedia resource; and cropping the first multimedia resource based on the first playing position to obtain a second multimedia resource, wherein audio data of the second multimedia resource comprises speech data of a target text content but does not comprise the speech data of the invalid text content.

Abstract: A display substrate and a display device are disclosed. In the display substrate, a plurality of openings include a plurality of opening groups, the plurality of opening groups include a plurality of opening group rows, each of the opening groups includes a first opening and a second opening, the plurality of opening group rows includes a first opening group row and a second opening group row, the spacer is located between the first opening of the first opening group row and the second opening of the second opening group row, an orthographic projection of the first opening includes a first long edge, and an orthographic projection of the second opening includes a second long edge, the first long edge is parallel to the second long edge, an extension line of the first long edge is misaligned from an extension line of the second long edge.

Abstract: Method and system to automatically verify the layout of a webpage on various screen sizes. The method includes retrieving screen size data associated with the webpage. The method further includes determining anchor points for the webpage based on the retrieved screen size data. The method also includes rendering the plurality of elements of the webpage based on the retrieved screen size data and the determined anchor points and identifying a respective location of each of the plurality of elements of the webpage to verify the layout of the plurality of elements of the webpage. If an error in the layout of the webpage is detected, a visual and/or audio alert is sent.

Abstract: Disclosed are a network connection method and apparatus, an electronic device, and a storage medium. The method comprises: if it is detected that a vehicle is in a stalled state, extracting a network frequency point table from a frequency point storage area, wherein the network frequency point table at least comprises one network frequency point, and the network frequency point is acquired and stored in the network frequency point table after the vehicle is started; cyclically searching for each network frequency point in the network frequency point table; determining a current network signal strength corresponding to each network frequency point; determining, according to the current network signal strength corresponding to each network frequency point, a target network frequency point to be connected; and connecting to the target network frequency point, and then performing data interaction.

Abstract: In some examples, a system processes event data and video frames produced by a program during execution of the program, the event data representing user actions with respect to a graphical user interface (GUI) of the program. The system identifies an area of the GUI that corresponds to a respective user action of the user actions, wherein identifying the area of the GUI uses a first video frame before an event corresponding to the respective user action, and a second video frame after the event corresponding to the respective user action. The system identifies, based on the identified area, a test object representing a user interface (UI) element, and generates a test script for testing the program, the test script including the test object.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to track traffic events and user interface (UI) events in parallel and record a first event of a hybrid test script. The first event may be recorded in a traffic mode to record one or more of the traffic events. The processor may transition from the traffic mode to a UI mode and, responsive to the transition from the traffic mode to the UI mode, may share session data between the traffic events and the UI events. Based on the session data, the processor may record a second event of the hybrid test script in the UI mode.

Abstract: Embodiments provide for automated testing of an Application Under Test (AUT) that utilizes an infinite scroll element. Automated testing of the AUT can comprise executing one or more test scripts on the AUT which can present a user interface including a plurality of elements and the test scripts can perform one or more functional tests on the AUT through the plurality of elements of the user interface. During performance of the one or more functional tests, a scroll event associated with an element of the user interface can be detected and a determination can be made as to whether the element associated with the scroll event is an infinite scroll element. In response to determining the element is an infinite scroll element, a set of test results for the functional test can be recorded including results for the infinite scroll element and an interaction with the infinite scroll element.

Abstract: A system of recommending an item, a method of recommending an item by a system of recommending an item, a computer system, and a computer-readable storage medium are provided. The system includes: an item expansion module configured to expand a content input by a user in response to the content input by the user, to generate an item set of interest to the user, the item set includes one or more items; a price radar module configured to monitor a discount information of the item in the item set; and a price monitoring module configured to calculate an actual price of the item based on the discount information of the item, maintain a price change record of the item in the item set, and determine whether to push a prompt information to the user or not according to the calculated actual price of the item and the price change record.

Abstract: Systems and methods of associating text with a graphical user interface (GUI) object are disclosed. Disclosed systems and methods include identifying a GUI object and a text string. A positional relationship between the GUI object and the text string is determined. Based on the positional relationship between the GUI object and the text string, a map with an indication associating the GUI object with the text string is updated.

Abstract: An image of a graphical user interface is captured. A process is started to record identification of a graphical object (e.g., a text field) in the image of the graphical user interface. Recording identification of the graphical object in the image of the graphical user interface is based on machine learning. An end to the process to record identification of the graphical object in the image of the graphical user interface is identified. A machine learned software object is updated. For example, the machine learned software object is updated with a location of the graphical object. The updated machine learned software object then is used to test the graphical object. For example, to automatically fill in the text field using a test script.

Abstract: A method and device for outputting information are provided. The method includes: in response to receiving an item addition request sent by a user, acquiring a base item; acquiring a candidate item set; acquiring associated items of the base item to form an associated item set; and acquiring an initial item combination, and selecting an item from the candidate item set and adding same to the initial item combination, obtaining a first item combination; and based on the first item combination, deleting an item from the first item combination, obtaining an intermediate item combination ; selecting an item from the associated item set and adding same to the intermediate item combination, obtaining a second item combination; selecting a result item combination from the first item combination and the second item combination; and in response to the result item combination satisfying preset conditions, outputting the result item combination.

Abstract: Method and system to automatically verify the layout of a webpage on various screen sizes. The method includes retrieving screen size data associated with the webpage. The method further includes determining anchor points for the webpage based on the retrieved screen size data. The method also includes rendering the plurality of elements of the webpage based on the retrieved screen size data and the determined anchor points and identifying a respective location of each of the plurality of elements of the webpage to verify the layout of the plurality of elements of the webpage. If an error in the layout of the webpage is detected, a visual and/or audio alert is sent.

Abstract: An image of a graphical user interface is captured. For example, a screen shot of a browser display is captured. Text syntax is executed that contains one or more parameters for identifying a graphical object. For example, the text syntax may identify a rectangle that contains the text “OK” where the text is red. Based on the text syntax, a graphical object is identified in the image of the graphical user interface. Information is returned that identifies how to access the graphical object in the graphical user interface. For example, coordinates of the graphical object are identified. This information can then be used in a test script using existing programming languages to test the graphical user interface. For example, the coordinates may be used to click on the OK button.

Abstract: Embodiments of the disclosure provide systems and methods for executing a functional test on an application. According to one embodiment, a method for running a functional test on an application can comprise executing the function test on the application. The functional test can comprise a plurality of steps. The plurality of steps can comprise a set of related steps having one or more relationships between each other and a set of one or more independent steps having no relationships to other steps in the plurality of steps. The one or more relationships between the set of related steps can be deduced and an indication of the deduced one or more relationships between the set of related steps can be saved. The functional test can then be replayed on the application based on the saved indication of the deduced one or more relationships between the set of related steps.

Abstract: An image of a user interface of a device is captured. A graphical object is identified in the image of the user interface. For example, a menu item or a text object is identified in the image of the user interface. An Artificial Intelligence (AI) process is used to determine a confidence score for the graphical object; the confidence score identifies a confidence of how likely a type of the graphical object can be identified. In response to the first confidence score not meeting a threshold, a zoomed in image of the graphical object is taken or a zoomed-out image of the graphical object is taken. The zoomed in image or the zoomed-out image is used to increase the confidence score to better identify the type of the graphical object.