Abstract: An operating circuit and an operating method of a resistive random-access memory are provided, the operating circuit includes: at least one capacitance connected in series with the resistive random-access memory, so that the resistive random-access memory is grounded through the at least one capacitance. The operating method includes: connecting at least one capacitance in series with a resistive random-access memory, so that the resistive random-access memory is grounded through the capacitance; applying a forming pulse voltage or a set pulse voltage on the resistive random-access memory to achieve a forming operation or a set operation of the resistive random-access memory.

Abstract: A node in a distributed network computes a hash of content for a service received in a data packet. The node verifies the data packet by comparing the hash of the content of a service received from a neighboring node to a hash of the content computed by the node. An amount of content of the service having a same identification is accumulated in a trusted execution environment (TEE) of the node, and a signature based on code stored in a TEE of the node is generated. The node then sends the data packet to the next neighboring node, where the service-related information includes the service ID, a hash of the service content and the signature. The service records with the accumulated amount of service content, accumulated hash values, and nodes' signatures are sent to the validation nodes to reach consensus for the service provided.

Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.

Abstract: Provided is a method for operating and cleaning a sample processing instrument comprising steps, performed by a control device, of: directing a first sample comprising first particles through a flow cell in the sample processing instrument; processing the first sample; cleaning the flow cell of the sample processing instrument with a cleaning agent; measuring a carryover amount in the flow cell after the cleaning, wherein the carryover amount comprises a measurement associated with an amount of the first particles remaining in a measurement region of the flow cell; comparing the measured carryover amount against a predetermined target value, wherein the target value corresponds to a value indicative of a cleaning requirement; and determining, based on the comparison, whether the cleaning requirement is met.

Abstract: A compound as represented by formula (I) or a pharmaceutically acceptable salt thereof or a pharmaceutical composition thereof, a preparation method therefor, and the use thereof in the treatment of tumors, inflammatory diseases or autoimmune diseases.

Abstract: The present disclosure relates to a method and system for controlling a smart device. The method includes obtaining correlating information of the smart device. The correlating information includes at least one of smart device information or a communication status of the smart device. The method includes determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method includes performing designated operations related to the smart device based at least in part on the indication information.

Abstract: A composite material (1) having a Na alloy (2) and a fluoropolymer (3) is provided. This has a Na alloy (2) having Na as a first constituent and one of K, Li, Se, Sb, Sn and Bi as a second constituent. The composite material (1) having Na originating from the Na alloy (2) cross-linked with F originating from the fluoropolymer (3) such that a solid electrolyte interphase (17) is formed within the composite material (1). In the Na alloy (2) the first constituent is present in at least 60 mol % and the second constituent is present in at most 40 mol %. An anode (6), a battery (9) and methods (10, 20, 30) for producing the composite material (1) and the anode (6).

Abstract: The present disclosure relates to a method and system for controlling a smart device. The method may include obtaining correlating information of the smart device. The correlating information may include at least one of smart device information or a communication status of the smart device. The method may include determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method may include performing designated operations related to the smart device based at least in part on the indication information.

Abstract: A data management system for collecting data of users from sensors at an event. An event-specific token corresponding to the event attended by the users is generated, where the event-specific token includes event-specific signatures about the users attending the event, and the signature of the event venue or facility. The public data is sent to public storage as an aggregation of the collected data and tagged with the event-specific token. The public data is statistically analyzed to track interactions and assess risks of the user's potential infection of a communicable disease based on anomalous activity detected at the event, or based on the notifications from the event attendees, which are matched and validated anonymously using the event-specific tokens. Based on a result of the statistical analysis, an advisory alert is sent to the users to warn them of a level of risk of harm based on attendance of the event.

Abstract: Provided is a substituted pyrimidine or pyridine amine derivative represented by formula (I), and a pharmaceutically acceptable salt, solvate, stereoisomer, prodrug, and pharmaceutical composition thereof, as well as medical application thereof. The derivative has significant adenosine A2A receptor and/or adenosine A2B receptor antagonistic activities.

Abstract: This disclosure relates to recommendations made to users based on learned behavior patterns. User behavior data is collected and grouped according labels. The grouped user behavior data is labeled and used to train a machine learning model based on features and tasks associated with the classification. User behavior is then predicted by applying the trained machine learning model to the collected user behavior data, and a task is recommended to the user.

Abstract: The present disclosure relates to a method and system for controlling a smart device. The method may include obtaining correlating information of the smart device. The correlating information may include at least one of smart device information or a communication status of the smart device. The method may include determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method may include performing designated operations related to the smart device based at least in part on the indication information.

Abstract: This invention provides a system and method for training and performing runtime 3D pose determination of an object using a plurality of camera assemblies in a 3D vision system. The cameras are arranged at different orientations with respect to a scene, so as to acquire contemporaneous images of an object, both at training and runtime. Each of the camera assemblies includes a non-perspective lens that acquires a respective non-perspective image for use in the process. The searched object features in one of the acquired non-perspective image can be used to define the expected location of object features in the second (or subsequent) non-perspective images based upon an affine transform, which is computed based upon at least a subset of the intrinsics and extrinsics of each camera. The locations of features in the second, and subsequent, non-perspective images can be refined by searching within the expected location of those images.

Abstract: A deep neural network based on analog FLASH computing array, includes a number of computing arrays, a number of subtractors, a number of activation circuit units and a number of integral-recognition circuit units. The computing array includes a number of computing units, a number of word lines, a plurality number of bit lines and a number of source lines. Each of the computing units includes a FLASH cell. The gate electrodes of the FLASH cells in the same column are connected to the same word line. The source electrodes of the FLASH cells in the same column are connected to the same source line, and the drain electrodes of the FLASH cells in the same row are connected to the same bit line. Each of the subtractors includes a positive terminal, a negative terminal and an output terminal.

Abstract: A node in a distributed network computes a hash of content for a service received in a data packet. The node verifies the data packet by comparing the hash of the content of a service received from a neighboring node to a hash of the content computed by the node. An amount of content of the service having a same identification is accumulated in a trusted execution environment (TEE) of the node, and a signature based on code stored in a TEE of the node is generated. The node then sends the data packet to the next neighboring node, where the service-related information includes the service ID, a hash of the service content and the signature. The service records with the accumulated amount of service content, accumulated hash values, and nodes' signatures are sent to the validation nodes to reach consensus for the service provided.

Abstract: An operating circuit and an operating method of a resistive random-access memory are provided, the operating circuit includes: at least one capacitance connected in series with the resistive random-access memory, so that the resistive random-access memory is grounded through the at least one capacitance. The operating method includes: connecting at least one capacitance in series with a resistive random-access memory, so that the resistive random-access memory is grounded through the capacitance; applying a forming pulse voltage or a set pulse voltage on the resistive random-access memory to achieve a forming operation or a set operation of the resistive random-access memory.

Abstract: The present disclosure relates to a method and system for controlling a smart device. The method may include obtaining correlating information of the smart device. The correlating information may include at least one of smart device information or a communication status of the smart device. The method may include determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method may include performing designated operations related to the smart device based at least in part on the indication information.

Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.

Abstract: A computer-implemented method of answering questions comprises: receiving, by one or more processors, a query; based on the query, generating, by the one or more processors, a matrix; based on the matrix, modifying, by the one or more processors, a dynamic memory; based on the matrix, determining, by the one or more processors, a first response from the dynamic memory; based on the matrix, determining, by the one or more processors, a second response from a database; based on the first response and the second response, determining, by the one or more processors, a third response; and in response to the query, providing, by the one or more processors, the third response.

Abstract: Disclosed herein are systems and methods for machine vision. A machine vision system includes a motion rendering device, a first image sensor, and a second image sensor. The machine visions system includes a processor configured to run a computer program stored in memory that is configured to determine a first transformation that allows mapping between the first coordinate system associated with the motion rendering device and the second coordinate system associated with the first image sensor, and to determine a second transformation that allows mapping between the first coordinate system associated with the motion rendering device and the third coordinate system associated with the second image sensor.