Abstract: The invention provides for treating HBV or HDV infection or inhibiting human sodium taurocholate co-transporting polypeptide (hNTCP) with a polymeric bile acid or salt thereof, and pharmaceutical compositions comprising a polymeric bile acid or salt thereof, and a second HBV or HDV medicament.

Abstract: The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

Abstract: A method for controlling an interference torque for a vehicle is provided. The method is applied to a new energy vehicle including an electric motor and an engine, and includes steps of: arbitrating between a pedal torque of a driver and an interference torque required by ESP; performing an initial allocation on the electric motor and/or the engine in response to the pedal torque when the vehicle is in a hybrid drive mode, to meet an engine torque request while ensuring that the engine is operated at an optimal operation point; and determining, based on the initial allocation, whether the motor is capable of fully responding to the arbitrated torque, if so, controlling the motor to respond to the arbitrated torque in priority, otherwise controlling the engine and the motor to cooperatively respond to the arbitrated torque.

Abstract: The embodiment of the present disclosure provides a method for linkage between an alarm and a gas meter based on smart gas. The method is executed by the gas meter. The method includes: obtaining a detection signal through electrical connection with the alarm; and closing a gas valve of the gas meter in response to the detection signal meeting the preset alarm condition.

Abstract: An apparatus and method for transmitting data of vehicle communication (V2X) services and a communication system. The apparatus includes: a first generating unit configured in a media access control (MAC) layer of the terminal equipment and configured to generate at least one protocol data unit (PDU) in a mode identical to a transmission mode to which a service data unit (SDU) contained in a PDU corresponds; and a first transmitting unit configured in the MAC layer and configured to transmit the PDU to a physical layer of the terminal equipment, and notify the transmission mode to which the PDU corresponds to the physical layer. This disclosure facilitates the physical layer to transmit data in a corresponding transmission mode. The terminal equipment may determine the transmission mode or set the transmission mode according to the indication information, and layers of the terminal equipment perform corresponding processing.

Abstract: The embodiments of the present disclosure provide a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.

Abstract: The present disclosure provides a method for determining a garbage sweeping point in a smart city and an Internet of Things system. The method is implemented by the Internet of Things system. The method includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method is performed through the management platform and includes: obtaining monitoring information on at least one road within a road network area, identifying a target object on the at least one road, the target object including at least garbage to be processed; determining, based on an identification result, information related to the target object, the information related to the target object including at least a garbage volume of the garbage to be processed; and determining at least one target garbage sweeping point based on the information related to the target object.

Abstract: A data processing device and related products are provided. The data processing device includes: a decoding unit, a discrete address determining unit, a continuous data caching unit, a data read/write unit, and a storage unit. Through the data processing device, the processing instruction may be decoded and executed, and the discrete data may be transferred to a continuous data address, or the continuous data may be stored to a plurality of discrete data addresses. As such, a vector computation of the discrete data and vector data restoration after the vector computation may be implemented, which may simplify a processing process, thereby reducing data overheads. In addition, according to the embodiments of the disclosure, when the discrete data is read, by caching a storage address corresponding to a read request, a read request of each piece of data may be merged to read one or more pieces of discrete data, thereby improving reading efficiency of the data.

Abstract: A resource allocation apparatus includes processor circuitry configured to acquire UE bearer information, and processor circuitry configured to allocate a resource for an MAC SDU of a UE bearer k in a logical channel j, allocation of the resource being related to the number of tokens of UE bearer in the logical channel j.

Abstract: A fiber optic imaging element includes medium-expansion and a fabrication method including: (1) matching a core glass rod with a cladding glass tube to perform mono fiber drawing; (2) arranging the mono fibers into a mono fiber bundle rod, and then drawing the mono fiber bundle rod into a multi fiber; (3) arranging the multi fiber into a multi fiber bundle rod, and then drawing the multi fiber bundle rod into a multi-multi fiber; (4) cutting the multi-multi fiber, and then arranging the multi-multi fiber into a fiber assembly buddle, then putting the fiber assembly buddle into a mold of heat press fusion process, and performing the heat press fusion process to prepare a block of the fiber optic imaging element with medium-expansion; and (5) edged rounding, cutting and slicing,

Abstract: Disclosed is a multi-source encrypted image retrieval method based on federated learning and secret sharing, including the following steps: S1. performing model training on a convolutional neural network of double cloud platforms based on federated learning, with an image owner joining the double cloud platforms as a coalition member; and S2. completing, by an authorized user, encrypted image retrieval based on additive secret sharing with the assistance of the double cloud platforms. The present disclosure provides a multi-source encrypted retrieval scheme based on federated learning and secret sharing, which simplifies the neural network model structure for retrieval by using federated learning, to obtain better network parameters. Better neural network parameters and a more simplified network model structure are achieved by compromising overheads on the image owner side, such that a better convolutional neural network can be used in encrypted image retrieval.

Abstract: The present invention relates to a compound, a display panel and a display device. The compound has a structure represented by Formula I. The compound takes a spiro structure as a non-conjugated connecting unit, and a boron-containing group as an electron-accepting group. A light-emitting compound obtained by taking the group as a building block has a narrower half-peak width and higher color purity. The boron-containing spiro structure is connected with an electron-donating group to obtain a bipolar compound, and as a thermal activation delay fluorescence material, the bipolar compound can be used a light-emitting layer material, particularly a doped material, and can also be used as a fluorescent host material or a phosphorescent host material. The compound provided herein can achieve low drive voltages and high luminescence efficiencies when applied to organic electroluminescent devices.

Abstract: The present disclosure provides a remote host monitoring method based on chip-level privacy-preserving computation (PPC), including: S1: allowing monitoring software in a user-side host to start in a chip-level trusted execution environment (TEE); S2: determining whether the user-side host locally stores valid private data, directly going to step S4 if yes, or otherwise, going to step S3; S3: establishing a secure connection with a supervisor and capturing private data; and S4: allowing monitoring software running in the TEE to execute a related monitoring instruction based on the private data, encrypting and signing a monitoring result, and transmitting the monitoring result to the supervisor. The present disclosure ensures validity, tamper resistance and security of monitoring information of the user with a TEE based on PCC, encrypts and signs the monitoring information based on an encryption key and a signature key of the supervisor, can locally store the monitoring information.

Abstract: Some embodiments of the present disclosure provide a method for production line electricity management based on an Industrial Internet of Things, system, and storage medium. The system includes a registration module and a judgment module. The registration module is configured to: reset electric energy metering equipment based on an initialization instruction; in response to a successful reset of the electric energy metering equipment, complete a parameter configuration of the electric energy metering equipment based on a parameter configuration instruction. The judgment module is configured to: in response to a correct parameter configuration of the electric energy metering equipment, obtain power consumption data; obtain an internal power consumption distribution of the production line based on the power consumption data; and determine whether a power consumption of the production line is abnormal based on the internal power consumption distribution.

Abstract: The present disclosure provides a power conservation control method and apparatus for a vehicle, and a readable storage medium. The method part includes: obtaining a minimum predicted ambient temperature within a preset time period; determining a minimum ambient temperature according to the minimum predicted ambient temperature and a current ambient temperature; if the minimum ambient temperature is less than or equal to a first preset temperature threshold, determining a minimum power conservation point of a traction battery according to the minimum ambient temperature; and performing mandatory power conservation control on the vehicle according to the minimum power conservation point, so that the remaining power of the traction battery is not less than the minimum power conservation point.

Abstract: A feature extraction deep neural network (DNN) may be trained based on the minimization of a loss function. A similarity function may be specified to calculate a similarity score for two representations of verbal utterances. A training data set comprising pairs of representations of utterances is received, wherein each one of the pairs of representations of utterances is associated with a corresponding a ground-truth label confirming whether the pair of represented utterances come from a same speaker or not. A respective similarity score may then be calculated for each one of the pairs of representations of utterances. Parameters associated with the DNN may then be updated based on minimizing a loss function associated with an area under a section of a receiver-operating-characteristic (ROC) curve for the similarity scores, wherein the ROC curve section is delimited between a low false positive rate (FPR) value and a high FPR value.

Abstract: An obstacle avoidance method for a robot, applied to a robot side, comprises: obtaining trap feature information in real time during travel of the robot, wherein the trap feature information comprises a sensor parameter and/or image information; determining whether a current location is located in a trap region when determining that the trap feature information meets a trap condition, wherein the trap region indicates a region in which the robot was trapped or is prone to be trapped; and giving up a current traveling route and traveling out of the trap region when determining that the current location is located in the trap region.

Abstract: An autonomous cleaning device, includes: a mobile platform, configured to move autonomously on a cleaning surface; and a cleaning module, disposed on the mobile platform and including a wet cleaning module, configured to clean at least part of the cleaning surface in a wet cleaning mode.

Abstract: A data transmission method and apparatus are disclosed. The method includes a first communication apparatus obtains information bit information of an ith sub-block, where the information bit information of the ith sub-block includes information bits of the ith sub-block and an information bit length of the ith sub-block, and i is a positive integer; obtains a matrix order M of the RM corresponding to the first communication apparatus in the ith sub-block, where M is a positive integer; then obtains, based on M, a first P matrix and a first b vector that are used to generate an RM; then generates, based on the first P matrix and the first b vector, the RM sequence corresponding to the ith sub-block; and finally, outputs the RM sequence corresponding to the ith sub-block.

Abstract: The present disclosure relates to an open binaural earphone including a housing, at least one low-frequency speaker, and at least one high-frequency speaker. The housing may be placed on at least one of a head or an ear of a user and not blocking a user's ear canal, and configured to accommodate the at least one low-frequency speaker and the at least one high-frequency speaker. The at least one low-frequency speaker may be configured to output sounds within a first frequency range from at least two first sound guiding holes through at least two first guiding tubes. The at least one high-frequency speaker may be configured to output sounds within a second frequency range from at least two second sound guiding holes through at least two second guiding tubes. The second frequency range may include one or more frequencies higher than one or more frequencies in the first frequency range.