Abstract: The present invention relates to the field of biomedicine, and in particular to a use of goji glycopeptide in the preparation of a drug for preventing and/or treating amyotrophic lateral sclerosis. Experimental results prove the use of goji glycopeptide in the preparation of a drug for preventing and/or treating amyotrophic lateral sclerosis.

Abstract: Provided is a massage device which includes: at least one first housing, having a first sucking port and a receiving space communicated with the at least one first sucking port; at least one movable assembly, movably inserted into the receiving space; and at least one driving assembly, connected with the movable assembly and configured to drive the movable assembly to reciprocate in the receiving space to periodically generate a negative pressure and a positive pressure at the first sucking port. The massage device further includes a massage assembly and a second housing received in the at least one first housing. The at least one movable assembly is received in a first end of the second housing, and the massage assembly is received in an opposite second end of the second housing.

Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.

Abstract: Determining an active jacking force of a tunneling closely undercrossing existing station, includes: acquiring design parameters of stations, and geological parameters of a construction site; obtaining a stress solution expression of the active jacking force on the existing station to obtain a stress solution of any point in a semi-infinite space under the action of a vertical load, replacing the vertical load with a vertical load acting on the existing station, and obtain a vertical stress solution of the existing station; obtaining a relational expression between the deflection and the stress solution of the existing station; and substituting the stress solution expression of the active jacking force into the relational expression between the deflection and the stress solution of the existing station according to boundary conditions at both ends of a beam on elastic foundation to obtain the active jacking force that controls the deflection of the existing station.

Abstract: Provided are an antibody or antigen-binding portion thereof that binds to MASP-2, and a use of the antibody or antigen-binding portion thereof in the preparation of a drug or kit for diagnosing, treating or preventing diseases associated with lectin pathway of complement activation. The antibody can specifically recognize enzymatic activity domains CCP1-CCP2-SP of human, monkey, mouse and rat MASP-2, and effectively inhibit the production of a complement component C4b and a C3 convertase C4b2a.

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

Abstract: A heat-dissipation assembly, a housing assembly, and an electronic device are provided in the present disclosure. The heat-dissipation assembly includes a liquid-cooling plate having a coolant flow path for receiving a cooling liquid inside the liquid-cooling plate. The liquid-cooling plate may have a coolant inlet and a coolant outlet in communication with the coolant flow path. A piezoelectric ceramic pump may be provided on the liquid-cooling plate. The piezoelectric ceramic pump may have a pump-in port in communication with the coolant outlet, and a pump-out port in communication with the coolant inlet.

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

Abstract: A landmark data collection method includes: determining (S100) a first basic collection point (A), a second basic collection point (B), and a third basic collection point (C) sequentially in an observation area of a landmark building; and collecting (S200) photos of the landmark building based on each of the first basic collection point (A), the second basic collection point (B), and the third basic collection point (C) to obtain landmark data of the landmark building. A photo of the landmark building is taken by a camera at the i-th basic collection point; and a collection point is determined at every predetermined distance interval as the camera is moved in a counterclockwise direction and/or a clockwise direction, and the photo of the landmark building is taken by the camera at the collection point, until the camera is moved out of the observation area, where i=1, 2, 3.

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.

Abstract: A list information display method and apparatus, an electronic device, and a storage medium are provided, the method includes: displaying list information in response to an information display operation triggered by a user; obtaining a real scene shooting image; and loading a plurality of types of information related to the list information into the real scene shooting image and display the real scene shooting image. Due to the use of virtual enhanced display technology, while the list information is displayed in the real scene shooting image, the plurality of types of information related to the list information are also displayed. On one hand, the user can obtain more information related to the list information while obtaining the list information, which improves the efficiency of information acquisition; and on the other hand, the user can obtain information in the real scene shooting image, which improves the visual effect and interactive experience.

Abstract: A positioning model optimization method, a positioning method, and a positioning device are provided. The positioning model optimization method includes: inputting a positioning model for a scene, the positioning model including a three-dimensional (3D) point cloud and a plurality of descriptors corresponding to each 3D point in the 3D point cloud; calculating a significance of each 3D point in the 3D point cloud, and if the significance is greater than a predetermined threshold, outputting the 3D point and the plurality of descriptors corresponding to the 3D point to an optimized positioning model for the scene; and outputting the optimized positioning model for the scene.

Abstract: An image processing method and apparatus for augmented reality, an electronic device and a storage medium, including: acquiring a target image in response to an image acquiring instruction triggered by a user, where the target image includes a target object; acquiring an augmented reality model of the target object, and outputting the augmented reality model in combination with the target object; acquiring target audio data selected by the user, and determining an audio feature with temporal regularity according to the target audio data; and driving the augmented reality model according to the audio feature and a playing progress of the target audio data when outputting the target audio data.

Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

Abstract: An animation processing method and apparatus, an electronic device and a storage medium, applied to a shader, the method including: acquiring an animation sample of a model unit; acquiring an external interaction parameter of an augmented reality model, where the augmented reality model includes a plurality of model units; and outputting the augmented reality model, and driving the animation sample of the model unit in the output augmented reality model according to the external interaction parameter. The animation sample of the model unit can be driven according to the external interaction parameter, so that animation of the model can be adjusted according to user operation, thereby improving usability.

Abstract: The embodiments of the present disclosure disclose an image effect implementing method and apparatus, an electronic device, a storage medium, a computer program product and a computer program. The method includes: acquiring a first image, recognizing a set object in the first image, and acquiring an augmented reality model corresponding to the set object; superimposing, according to coordinate information of pixels of the set object, the augmented reality model onto the first image to obtain a second image; and upon detection of a preset deformation event, controlling, according to a set deformation policy, at least one sub-model of the augmented reality model in the second image to deform, and displaying the deformed second image.

Abstract: A positioning model optimization method, an image-based positioning method and positioning device, and a computer-readable storage medium are provided. The positioning model optimization method includes: inputting a positioning model for a scene, the positioning model including a three-dimensional (3D) point cloud and a plurality of descriptors corresponding to each 3D point in the 3D point cloud; determining, for each 3D point in the 3D point cloud, a plurality of neighboring points of the 3D point, and if a distance relationship between each of the plurality of neighboring points and the 3D point is smaller than a predetermined threshold, outputting the 3D point and the plurality of descriptors corresponding to the 3D point to an optimized positioning model for the scene; and outputting the optimized positioning model for the scene.

Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.