Abstract: A computing system for fragment-based quantum mechanical calculation of protein properties is provided. A processor implements a protein fragmentation module that separates a computer-readable polypeptide sequence into a plurality of data units. For each subsequence of three adjacent amino acids in the polypeptide sequence, a first amino acid, a second amino acid, and a third amino acid are identified, each amino acid having a respective main chain including an amino group, a carbon, and a carboxyl group, and a side chain attached to the alpha carbon. The protein fragmentation module generates a data unit representing a first alpha carbon, a first carboxyl group, a second amino group, a second alpha carbon, a second carboxyl group, a second side chain, a third amino group, and a third alpha carbon, and stores the generated data unit in the memory.

Abstract: The method in this application includes: When the user needs to generate the target image, a plurality of reference images and a first processing instruction for the plurality of reference images may be first obtained from the user. The first processing instruction indicates the target image. Then, the first processing instruction may be adjusted by using the plurality of reference images, to obtain a second processing instruction. The second processing instruction indicates a relationship between at least one reference image in the plurality of reference images and the target image. Finally, the second processing instruction may be input into a target model, so that the target model processes the at least one reference image by using the second processing instruction, to obtain and output the target image, and provide the target image for the user for viewing and use.

Abstract: The present application provides a call request processing method, a network node, and a storage medium. The method comprises: after receiving a call request initiated by a UE, determining whether to trigger an assisted localization function for a serving-call session control function (S-CSCF) network element; if the assisted localization function is triggered, forwarding the call request to an application server (AS) network element; receiving information of the S-CSCF network element corresponding to the UE fed back by the AS network element on the basis of the call request, wherein the AS network element pre-stores the correspondence between the UE and the S-CSCF network element; and on the basis of the information of the S-CSCF network element provided by the AS network element, forwarding the call request to the S-CSCF network element corresponding to the UE, so that the S-CSCF network element corresponding to the UE processes the call request.

Abstract: The present invention provides a high-content carotenoid compound from Adonis amurensis. The content of the total carotenoid of the carotenoid compound is higher than 95%. The content of all-trans (3S, 3?S)-carotenoid is higher than 80%. The carotenoid crystals have a high purity, and can be used in multiple forms in the fields of a dietary supplement of a human being, a food additive, a feed additive and a cosmetic product. In addition, the present invention also provides a method for manufacturing the compound.

Abstract: A data processing method is disclosed, is applied to the field of video understanding in artificial intelligence, and includes: obtaining a video and text, where the text includes a plurality of text units; obtaining a first feature representation of the video based on the video by using an image encoder; obtaining, based on the text by using a text encoder, a second feature representation of each text unit and a third feature representation corresponding to the text, where the third feature representation is obtained by performing feature extraction by using the text encoder with the text as a whole; fusing the third feature representation and each second feature representation, to obtain a plurality of fourth feature representations; and performing contrastive learning between the first feature representation and the plurality of fourth feature representations, to update the image encoder and the text encoder.

Abstract: A computing system is provided, which receives a molecular graph at a message passing graph neural network (MPGNN), and produces scalar embeddings representing features of nodes and edges of the graph and vector embeddings representing geometric relationships of the graph. The system processes the scalar embeddings via a vector scalar interactive message passing mechanism of a message passing sub-block of the MPGNN to generate and pass scalar information from the scalar embeddings to an embedding space containing the vector embeddings. The system updates the vector embeddings based on the embedding space containing the scalar information and the vector embeddings. The system updates the scalar embeddings based on run-time geometry calculations of the geometric relationships encoded in the vector embeddings. The system computes an updated molecular graph based on the updated scalar and vector embeddings and outputs a target molecular property value based on the updated molecular graph.

Abstract: The present disclosure discloses a neural network model processing method, an electronic device, and a readable storage medium. The method includes: A first electronic device obtains a to-be-processed first neural network model, where the first neural network model includes M first processing units, the M first processing units are capable of performing parallel processing on data, and M is greater than or equal to 2; the first electronic device combines the M first processing units of the first neural network model into S second processing units, to obtain a second neural network model, where S is less than M; and the first electronic device sends the second neural network model to a second electronic device. Multi-branch processing units in a trained first neural network model are adjusted and combined into a single-branch processing unit, to ensure precision of the deployed second neural network model.

Abstract: A method and apparatus for updating an object recognition model in the field of artificial intelligence are disclosed. According to the method, a target image and first voice information of a user are obtained. The first voice information indicates a first category of a target object in the target image. A feature library of a first object recognition model is updated based on the target image and the first voice information. The updated first object recognition model includes a feature of the target object and a first label indicating the first category, and the feature of the target object corresponds to the first label. A recognition rate of an object recognition model can be improved more easily according to the technical solution provided in this application.

Abstract: A low-carbon production method and production system for cement clinker. The production method comprises calcining a metal oxide, which is obtained by converting carbonate in a raw material by means of a methane dry reforming reaction, to form cement clinker, and meanwhile obtaining synthesis gas. The production system uses a reformer furnace for methane dry reforming of carbonate to replace a carbonate decomposition furnace in an existing cement production system.

Abstract: An instance segmentation method and apparatus are provided. A to-be-trained segmentation network performs the following processing on each instance group that is in a sample original image and that is of pixels of a marked instance, where each instance group includes at least one marked instance, and the processing includes: predicting at least two different first basic feature maps and a first attention feature map corresponding to each first basic feature map; performing weighted processing on the at least two first basic feature maps and pixel values of respective first attention feature maps corresponding to the at least two first basic feature maps, to obtain a first feature fusion map; and training the to-be-trained segmentation network based on the first feature fusion map and the sample original image. A segmentation model can precisely determine pixels of an instance in an original image.

Abstract: A video generation method may be applied to the field of image processing and video generation in the field of artificial intelligence. The method includes: receiving a video generation instruction, and obtaining text information and image information in response to the video generation instruction, where the text information includes one or more keywords, and the image information includes N images; obtaining, based on the one or more keywords, one or more image features that is in each of the N images and corresponds to the one or more keywords; and inputting the one or more keywords and the one or more image features of the N images into a target generator network to generate a target video, where the target video includes M images, and the M images are generated based on the one or more image features of the N images and correspond to the one or more keywords.

Abstract: The present invention discloses a Bluetooth mesh network system having quick provisioning mechanism that includes an infrared control apparatus and nodes. The infrared control apparatus generates a provisioning activation infrared signal. Each of the nodes receives the provisioning activation infrared signal and generates a group key according to predetermined group number information thereof to perform communication according to the group key based on a Bluetooth mesh network communication protocol.

Abstract: According to implementations of the subject matter described herein, a solution for molecular binding analysis is provided. In the solution, a first feature representation determined based on a structure of a ligand molecule may be obtained, and a second feature representation determined based on a structure of a protein molecule may be obtained. A third feature representation of a complex structure may be determined, wherein the complex structure is built based on the protein molecule and the ligand molecule. The first feature representation, the second feature representation and the third feature representation may be used to generate an aggregate feature representation so as to determine evaluation information on the binding between the ligand molecule and the protein molecule. The evaluation information may indicate the effectiveness of the binding or indicate the affinity of a binding pose of the binding. Thereby, more efficient and accurate binding analysis can be realized.

Abstract: The present invention discloses a Bluetooth mesh network system having wake-up management mechanism that includes a control node and low power nodes. The control node broadcasts a wake-up parameter setting packet at broadcast time spots based on a broadcast period. Each of the low power nodes receives the wake-up parameter setting packet to be operated in a wake-up management mode to configure a start time spot, a time length and a period interval length of a wake-up period that is synchronous among the low power nodes accordingly. The control node further transmits data corresponding to the low power nodes in the wake-up period and the low power nodes is operated in a wake-up state within the wake-up period to receive the data from the control node and is operated in a sleep state outside of the wake-up period.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for protein structure prediction. In this solution, a constraint set for a target protein is obtained, the constraint set comprising constraints for structural properties of the target protein. Feature information is extracted from the constraints respectively, and weights corresponding to the constraints are determined respectively based on the feature information of the constraints. Each weight indicates a degree of influence of the corresponding constraint in prediction of a structure of the target protein. The structure of the target protein is predicted based on the constraints in the constraint set and the weights. According to the solution, through the pre-processing on the constraints for use, it is possible to solve potential conflicts in the constraint set and eliminate constraint redundancy. This enables accurate prediction of the structure of the target protein.

Abstract: According to implementations of the present disclosure, a solution is proposed for protein structure prediction. In this solution, from a fragment library for a target protein, a plurality of fragments is determined for each of a plurality of residue positions of the target protein. Each fragment comprises a plurality of amino acid residues. Then, a feature representation of structures of the plurality of fragments is generated for the each residue position. Next, a prediction of at least one of a structure and a structural property of the target protein is determined based on the respective feature representations generated for the plurality of residue positions. In this way, the solution can leverage structural information of fragment libraries to complement and complete information used in protein structure prediction, and the accuracy of protein structure prediction is thus improved.

Abstract: This application provides an augmented reality method, to dynamically associate an orientation of a virtual object with an orientation of a real object. The method in this application includes: obtaining a target image shot by a camera and first location information of a first object in the target image; obtaining second location information of a second object in a three-dimensional coordinate system and third location information of a third object in the three-dimensional coordinate system; obtaining a pose variation of the first object relative to the second object based on the first location information and the second location information; transforming the third location information based on the pose variation, to obtain fourth location information of the third object in the three-dimensional coordinate system; and rendering the third object in the target image based on the fourth location information, to obtain a new target image.

Abstract: A battery management circuit and method for a mobile device is disclosed. The battery management circuit includes a power supply input configured to receive power from an external power source and a system supply output. A battery supply terminal is configured to be coupled to a battery having a series arrangement of two or more battery cells. A battery charging circuit includes a buck converter having a buck converter input coupled to the power supply input and a buck converter output coupled to the system supply output. A battery isolation circuit and a switched capacitor DC-DC converter are arranged between the system supply output and the battery supply terminal. The switched capacitor DC-DC converter steps up the buck converter output voltage by a step-up factor during battery charging and steps down the battery voltage during battery discharge.

Abstract: The present invention discloses a Bluetooth mesh network system having a communication range extending mechanism that includes a plurality of nodes and a provisional node. The provisional node is configured to transmit a connection setting packet to the nodes to control the nodes to establish a coded PHY connection between each two of the nodes such that a packet error rate is smaller than a threshold value when the nodes perform communication when a physical distance between each two of the nodes is larger than a maximum non-coded-PHY communication distance, in which when the nodes establish a non-coded-PHY connection and the physical distance is larger than the maximum non-coded-PHY communication distance, the packet error rate is larger than the threshold value.

Abstract: The present invention provides a high-content carotenoid compound from Adonis amurensis. The content of the total carotenoid of the carotenoid compound is higher than 95%. The content of all-trans (3S, 3?S)-carotenoid is higher than 80%. The carotenoid crystals have a high purity, and can be used in multiple forms in the fields of a dietary supplement of a human being, a food additive, a feed additive and a cosmetic product. In addition, the present invention also provides a method for manufacturing the compound.