Abstract: A camera view share system is provided. The camera view share system includes a road-side unit. The road-side unit includes a controller configured to receive a request for a bird-eye-view map from an ego vehicle, the bird-eye-view map including a plurality of vehicles, transmit the bird-eye-view map to the ego vehicle, receive a selection of a target vehicle among the plurality of vehicles from the ego vehicle, and transmit a camera feed related to the target vehicle to the ego vehicle.

Abstract: A system for communication-aware federated learning includes a server and edge nodes. Each of the edge nodes trains a machine learning model using first local data obtained by sensors of corresponding edge node. Each of the edge nodes obtains network bandwidth for a channel between corresponding edge node and the server. One or more of the edge nodes determines a level of compression based on the bandwidth for the channel, compresses the trained machine leaning model based on the determined level of compression, and transmits the compressed trained machine learning model to the server. The server decompresses the compressed trained machine learning models and aggregates the decompressed trained machine learning models to obtain the aggregated machine learning model, and transmits the aggregated machine learning model to each of the edge nodes. Each of the edge nodes receives the aggregated machine learning model from the server.

Abstract: The present invention relates to a Camptothecin compound having anti-tumor activity, a preparation method therefor, and an application thereof. Specifically, the present invention relates to a compound as shown below or a pharmaceutically acceptable form thereof, a pharmaceutical composition thereof, a preparation method therefor, and a use thereof.

Abstract: A system for contribution-aware federated learning is provided. The system includes a server and a plurality of vehicles. Each of the plurality of vehicles includes a controller programmed to: train a local machine learning model using first local data; obtain metadata for hardware elements of corresponding vehicle; transmit the trained local machine learning model and the metadata to a server; receive an aggregated machine learning model from the server; and train the aggregated machine learning model using second local data. The server generates the aggregated machine learning model based on the trained local machine learning models and the metadata received from the plurality of vehicles.

Abstract: Disclosed in the present application are a concrete protection material, and a preparation method and a construction method therefor. The concrete protection material consists of 50%-90% of a component A and 10%-50% of a component B in percentage by weight, where the component A is prepared from 30%-65% of organic silicon, 2%-5% of nano-silicon dioxide and the balance of an organic solvent in percentage by weight; and the component B is prepared from 20%-50% of an organic base and the balance of water in percentage by weight. The present application not only can form nano-particles having a strengthening effect in capillary channels of a concrete surface layer, but also can achieve a technical effect of superhydrophobicity on the concrete surface layer.

Abstract: The application discloses a reverse virtual screening platform and method based on programmable quantum computing, the method includes the following steps: S1, for a given micromolecule and a target protein molecule, calculating a binding interaction graph of the given micromolecule and the target protein molecule on a computer according to different distances between pharmacophores; S2, encoding, according to an adjacency matrix of the binding interaction graph, the binding interaction graph into a quantum reverse virtual screening platform by decomposing the adjacency matrix; and S3, performing Gaussian boson sampling by the quantum reverse virtual screening platform. The reverse virtual screening platform and method based on programmable quantum computing provided by the present application are implemented by an optical quantum computer system based on a time domain.

Abstract: An herbal composition including Fructus Terminaliae Chebulae, Radix Paeoniae Lactiflorae, Cortex Magnoliae Officinalis, Rhizoma Corydalis Yanhusuo, Herba Polygoni Chinensis, Rhizoma Atractylodis Macrocephalae, and Semen coicis Lachryrna-jobi useful for treating diseases, such as inflammatory bowel disease, by increasing regulatory T cells in a subject in need thereof, methods for preparing of use and preparation thereof.

Abstract: The present invention relates to the use of triterpenoid derivatives for the preparation of a medicament for preventing or treating influenza diseases, in which the substituents are as defined in the specification. The triterpenoid derivatives of the present invention have obvious inhibition effect on influenza virus, and are capable of obviously preventing influenza virus from entering cells, and can be used for preventing or treating influenza.

Abstract: The present invention provides a use of ginsenosides represented by formula I or mixtures thereof for manufacturing a medicament for anti-platelet aggregation, wherein R1 and R2 are H or glucosyl, and when R1 is glucosyl, R2 is H; when R1 is H, R2 is glucosyl. The present invention further provides a pharmaceutical composition for anti-platelet aggregation, which is capable to be used to prevent and treat thrombosis. The present invention also provides a method for generating the effect of anti-platelet aggregation in patients in vivo.