Abstract: A method for modifying a gliadin and an application thereof are provided. The method includes the following steps: dissolving the gliadin in a solvent to obtain gliadin solution; and adding a proline endoprotease to the gliadin solution for a reaction, and adjusting the pH value of solution to neutral according to a gradient, to obtain a modified gliadin. The modified gliadin obtained by the present invention may be uniformly dispersed in water, and may still maintain a uniform dispersion state in the water after high-temperature thermal sterilization and long-term storage, or even in the presence of sodium chloride, it has good thermal stability, salt resistance, and storage stability.

Abstract: The present disclosure relates to the technical field of automation equipment and specifically discloses a sample preparation workstation and a sample preparation system. The sample preparation workstation includes a preparation platform, a robotic arm mounted to the preparation platform, a sample exchange chamber mounted to the preparation platform and used for exchanging a sample before or after experiment with the outside world, a transfer tool mounted to the robotic arm, and an experimental apparatus mounted to the preparation platform. The robotic arm drives the transfer tool to move so that the transfer tool transfers the sample before experiment in the sample exchange chamber to the experimental apparatus for experiment and transfers the sample after experiment to the sample exchange chamber. According to an embodiment of the present disclosure, the full-automatic sample preparation can be realized, the labor cost can be saved and the experiment efficiency can be improved.

Abstract: This application discloses example route selection methods, network devices, and systems. One example method includes obtaining, by a first network device, a plurality of routes arriving at a same prefixOne or more routes for guiding packet forwarding are selected by the first network device based on trustworthiness of each route of the plurality of routes, where the trustworthiness of each route identifies a trustworthiness degree of the corresponding route.

Abstract: The disclosure relates to a method, apparatus and device for sharing microservice application data. The method includes: managing, through data registration management, memory data registration information that is to be loaded by microservice application clusters; determining, according to the memory data registration information, memory data that are required by the microservice application clusters; partitioning and distributing the memory data to a plurality of memory computation service nodes in the microservice application clusters, and deploying the plurality of memory computation service nodes into a corresponding microservice application cluster at a proximal end; and loading the memory data in a preset manner in the plurality of memory computation service nodes, and sharing a corresponding memory computation service node in real time under the condition that the memory data change.

Abstract: Disclosed are an advanced persistent threat (APT) detection method and system based on a continuous-time dynamic heterogeneous graph network (CDHGN). The method includes: selecting network interaction event data, extracting entities from the network interaction event data as source nodes and target nodes, extracting an interaction event occurring between a source node and a target node as an edge, and determining a type and an attribute of a node, a type and an attribute of the edge, and a moment at which an interaction event occurs, to obtain a continuous-time dynamic heterogeneous graph; converting each type of edge in the continuous-time dynamic heterogeneous graph into a vector by a CDHGN encoder, to obtain an embedding representation by a CDHGN decoder to obtain a detection result of whether each type of edge is an abnormal edge, to intercept an APT attack.

Abstract: A cell growth promoter and an application thereof are provided. The invention adopts Fe2+ and ovalbumin to form a Fe2+-ovalbumin (OVA) compound to promote ovalbumin cell endocytosis, the cell growth promoter can maintain cell growth in an environment free of amino acids, promote cell proliferation in an environment with amino acids; and, the Fe2+-OVA compound can replace expensive animal serum albumin in cell culture, the cell growth promoter has a significant effect on improving cell viability and is low cost.

Abstract: An electrode sheet, a battery cell, and a battery are provided. The electrode sheet includes an electrode sheet body. The electrode sheet body includes a first side edge and a second side edge connected. A connection position between the first side edge and the second side edge is provided with a first chamfer. The first chamfer includes a first arc segment and at least one first transition segment. The first arc segment is connected to the first side edge and/or the second side edge through the at least one first transition segment. The first arc segment protrudes toward a direction away from a center of the electrode sheet body.

Abstract: The present disclosure provides a defect detection method and apparatus for a cushion layer of a cable, a device, and a storage medium. The method includes: obtaining specification parameters of a corrugated sheath of a to-be-detected cable, calculating a first volume of a cushion layer without deformation and a second volume of a deformed portion of the cushion layer when the cushion layer is deformed under stress, and calculating a stressed-state deformation ratio of the cushion layer based on the first volume and the second volume; obtaining a voltage, a current, an electrode area, an electrode distance, and an initial electrode distance of the cushion layer when the stressed-state deformation ratio is reached, and calculating volume resistivity of the cushion layer; and comparing the volume resistivity with a preset evaluation parameter to obtain a defect detection result of the cushion layer.

Abstract: A method and a device for recovering a call service in a mobile communication system are provided. The method includes the following steps determining whether a second cell satisfies a condition for a terminal to perform an IP multimedia subsystem (IMS) registration when detecting that the terminal enters the second cell during a period in which the terminal waits for a next IMS registration due to an IMS registration failure in a first cell, initiating an initial IMS registration when determining that the second cell satisfies the condition, and recovering a call service of the terminal after the initial IMS registration is successful.

Abstract: The present disclosure relates to methods, devices, and storage media for processing message in a live broadcast room, including in response to detecting that a target message interaction interface among pre-configured message interaction interfaces is called, obtaining a message configuration parameter corresponding to the target message interaction interface, obtaining a service type and a caller account incoming with the target message interaction interface, the message interaction interface being used for respective accounts in the live broadcast room for message interaction, determining a respective content to be sent according to the service type and the caller account, determining a respective target client according to an account type of the caller account, performing splicing processing on the content to be sent according to the message configuration parameter to obtain a target message, and sending the target message to the target client.

Abstract: A system is disclosed for network management automation using network intent or adaptive monitoring automation. Network intent (NI) represents a network design and baseline configuration for that network or network devices with an ability to diagnose deviation from the baseline configuration. The NI can be automated to update and replicate the diagnosis. The monitoring of the network can be adapted to capture network problems in advance with adaptive monitoring automation.

Abstract: The present disclosure relates to methods, devices, and storage media for processing message in a live broadcast room, including in response to detecting that a target message interaction interface among pre-configured message interaction interfaces is called, obtaining a message configuration parameter corresponding to the target message interaction interface, obtaining a service type and a caller account incoming with the target message interaction interface, the message interaction interface being used for respective accounts in the live broadcast room for message interaction, determining a respective content to be sent according to the service type and the caller account, determining a respective target client according to an account type of the caller account, performing splicing processing on the content to be sent according to the message configuration parameter to obtain a target message, and sending the target message to the target client.

Abstract: The disclosure can provide a method for multi-service processing. The method includes: obtaining a target identifier of a target live streaming room; querying task data of a current task corresponding to the target live streaming room based on the target identifier; monitoring a task state of the current task in response to the queried task data; determining a first service identifier of a first service corresponding to a current time point based on preset service mapping information in response to the monitored task state being a task-ended state, the preset service mapping information representing mapping relationship between multiple services and preset service running durations; and sending task prompt information corresponding to the first service to a terminal corresponding to the target live streaming room based on the first service identifier, to make the terminal display the task prompt information in the target live streaming room.

Abstract: A machining apparatus is provided with a machine learning device that performs machine learning. The machine learning device performs the machine learning by receiving the input of machining accuracy between a machining shape of a workpiece measured on-machine and design data on the workpiece and machining time of the workpiece measured by a measurement device. Based on a result of the machine learning, the machining apparatus changes machining conditions such that the machining accuracy increases and the machining time becomes as short as possible.

Abstract: An assembling mechanism for LED downlight includes a cylindrical body, at least one spring fixed on the cylindrical body, and a cover assembled on the at least one spring. Each of the at least one spring includes a fixing portion, a reed extending from the fixing portion along a rotation direction of the cylindrical body, and a catching portion disposed on the reed. The catching portion extends along the radial direction of the cylindrical body. The cover includes at least one clamping gap. Each of the at least one clamping gap includes an open provided along the rotation direction of the cylindrical body. The catching portion is inserted into the clamping gap from the opening by rotating the cover.

Abstract: An assembling mechanism for LED downlight includes a cylindrical body, at least one spring fixed on the cylindrical body, and a cover assembled on the at least one spring. Each of the at least one spring includes a fixing portion, a reed extending from the fixing portion along a rotation direction of the cylindrical body, and a catching portion disposed on the reed. The catching portion extends along the radial direction of the cylindrical body. The cover includes at least one clamping gap. Each of the at least one clamping gap includes an open provided along the rotation direction of the cylindrical body. The catching portion is inserted into the clamping gap from the opening by rotating the cover.

Abstract: A machining apparatus is provided with a machine learning device that performs machine learning. The machine learning device performs the machine learning by receiving the input of machining accuracy between a machining shape of a workpiece measured on-machine and design data on the workpiece and machining time of the workpiece measured by a measurement device. Based on a result of the machine learning, the machining apparatus changes machining conditions such that the machining accuracy increases and the machining time becomes as short as possible.