Abstract: A display driving method, a display driving device, and a display device are disclosed by the present disclosure. The display driving method includes following steps: augmenting an input video stream to a target video stream, where a refresh rate of the target video stream is greater than a refresh rate of the input video stream; converting each of one or more initial image frames in the target video stream into a target image frame, where a resolution of the target image frame is greater than a resolution of the initial image frame; and driving a display panel to display the target image frame.

Abstract: A phase shifter includes a first dielectric substrate and a second dielectric substrate opposite to each other, a tunable dielectric layer between the first dielectric substrate and the second dielectric substrate, a first electrode layer on a side of the first dielectric substrate close to the tunable dielectric layer, a second electrode layer on a side of the second dielectric substrate close to the tunable dielectric layer, and a third electrode layer on a side of the first dielectric substrate away from the tunable dielectric layer. One of the first electrode layer or the second electrode layer includes a signal electrode for transmitting electromagnetic waves. The third electrode layer is provided with a first opening, and orthographic projections of the first opening and the signal electrode on the first dielectric substrate are partially overlapped.

Abstract: The disclosure relates to a method and a system for collecting and processing offensive and defensive elements based on multi-source data. The method includes: constructing multiple data monitoring points based on network system parameters; generating a collection evaluation value of each of the data monitoring points, and setting an initial collection frequency of each of the data monitoring points according to all collection evaluation values; obtaining a monitoring data packet of each of the data monitoring points, and determining whether to generate a first-level collection instruction of each of the monitoring points according to all monitoring data packets.

Abstract: A lifting control apparatus may include: a base for holding a basket containing silicon wafers; brackets provided on an outside of both ends of the base; and a driver for driving the brackets to move up and down. The driver is provided with a lead screw. The lead screw is connected with the bracket on a same side. The lead screw on one side is driven to rotate the lead screw on another side synchronously, and the lead screws on both sides are driven to move the brackets on both sides and the base between the brackets up and down together. Or the lead screws on both sides are driven to rotate synchronously, so that the lead screws on both sides drive the base between the brackets through the correspondingly brackets to move up and down together.

Abstract: Provided is a method for constructing a backtracking analysis model based on an attack chain, including: a kernel-layer security agent collects process, file, and network behavior features in a hardware-isolated environment to generate event tuples; a tensor network pipeline performs three-dimensional decoupling mapping of the tuples into behavior fingerprint vectors, orthogonalized noise features, and asymmetric adjacency tensors, and compresses them into spatio-temporal topological tensor block; a reinforcement learning controller constructs a directed acyclic graph based on the tensor block, calculates connectivity loss, and outputs event risk scores; a dynamic routing engine constructs a decision tree model based on risk markers, burst frequency, and correlation entropy to implement three-level shunting, and a multi-simulation system generates anti-interference index; when the deviation between a physical trajectory and a digital model exceeds a tolerance, a closed-loop feedback weight coefficient is used

Abstract: An animal ultrasonic mechanical arm automatic calibration method and system, including following steps: S1, constructing a target recognition model; S2, obtaining an initial ultrasound image and an initial white light image, determining a type of a target organ, and marking the determined target organ on the initial white light image; S3, obtaining an initial movement amount of the mechanical arm assembly; S4, the mechanical arm assembly moves a distance of the initial movement amount in a direction close to the detected animal; S5, using the steps S2-S3 to obtain a re-movement amount of the mechanical arm assembly when the mechanical arm assembly is located at the first movement position, and determining whether the mechanical arm assembly moves in the X direction, Y direction, and Z direction, when the mechanical arm assembly does not need to move, completing the calibration of the mechanical arm assembly, otherwise, iterating steps S4-S5.

Abstract: A self-decoupling wideband antenna system and a terminal device, including: a first end of a first radiation stub that is connected to a first ground point, and the first radiation stub is further connected to a first feed point; a first end of a second radiation stub and a first end of a third radiation stub are connected to a second ground point, and a slot is provided between a second end of the second radiation stub and a second end of the first radiation stub. A distance between the second end of the second radiation stub and the second end of the first radiation stub is less than a distance between the first end of the second radiation stub and the second end of the first radiation stub.

Abstract: An electrically driven control system for a rotatable upright blast door comprises: a blast door including a door body; an opening and closing device of electric cylinder of rotatable upright door body including a drive motor module and a push rod coupled to a power output end of the drive motor module, and the opening and closing device of electric cylinder of rotatable upright door body is hinged relative to the mounting base, and the push rod is hinged to the door body. In the present invention, the opening and closing of the door body is driven by an electric cylinder structure, which has a small layout space and a large opening and closing torque. An opening and closing device of electric cylinder of rotatable upright door body has a simple structure, which reduces the complexity of maintenance and management.

Abstract: Provided are a distributed task load balancing scheduling method and system. The method includes: acquiring performance requirement indicators of tasks to be executed, and allocating the tasks to be executed to server nodes in a server cluster network topology according to the performance requirement indicators; acquiring historical load change rates of the server nodes, and determining a load threshold corresponding to each server node according to the historical load change rates; and acquiring real-time performance indicators of the server nodes, determining load score values according to the real-time performance indicators of the server nodes, screening out overloaded server nodes whose load score values exceed the load thresholds, and performing load balancing scheduling on tasks in the overloaded server nodes.

Abstract: The present disclosure relates to the technical field of high molecular materials, discloses a high-dielectric hydrophobic polymer, a preparation method and use thereof, and relates to a polymer of formula I. The polymer of the disclosure has a polarizable group that is capable of increasing its dielectric constant while maintaining its high hydrophobicity, light transmittance and low roughness, so as to achieve a low hysteresis and recoverable electrowetting contact angle at a low voltage. The polymer of the present disclosure, as a cross-linked amorphous network polymer, has an extremely low crystallinity, and a good optical transparency with the light transmittance reaching 99%, which is sufficient to meet the requirements of an electrowetting display, a liquid lens and the like on the light transmittance.

Abstract: An error calibration method of a nitrogen-vacancy center (NV) vector magnetometer is disclosed. The method includes acquiring corresponding magnetic field intensity NV vector magnetometer measured data in various postures and constructing an error expression of the NV vector magnetometer. The error expression of the NV vector magnetometer is a relational expression among the magnetic field intensity measured data, magnetic field intensity real data and an error coefficient and the error coefficient includes a combination coefficient and a zero-bias error coefficient. All the magnetic field intensity measured data are fit based on an ellipsoid fitting method. The error coefficient is solved to obtain a determined error coefficient. The determined error coefficient is substituted into the error expression of the NV vector magnetometer to obtain an error model of the NV vector magnetometer. The magnetic field intensity measured data is substituted into the error model of the NV vector magnetometer.

Abstract: This invention provides a device to enable thermally intensified interfacial polymerization for facile fabrication of ultra-selective reverse osmosis (RO) membranes for various water treatment scenarios including seawater desalination and water reuse. The device pre-heated the organic solvent and then performed interfacial polymerization between the room-temperature aqueous phase and the heated organic phase. The fabricated RO membranes demonstrated excellent selectivity towards toxic micropollutants (i.e., boron in seawater, arsenite in groundwater, and organic micropollutants in wastewater) and high water-permeability. This invention offers a facile, cost-efficient and highly effective alternative for water treatment.

Abstract: The disclosure belongs to the technical field of network security, and provides a method for constructing a feature knowledge base of mapping behavior based on deep learning, which includes: data acquisition and preprocessing: extracting five-tuple information and behavior features from network traffic. The disclosure automatically extracts the spatio-temporal features through the deep learning model, and enhances the sensitivity to abnormal behaviors by combining the attention mechanism, thus significantly improving the detection accuracy. The explanatory AI technology is used to automatically generate detection rules, the maintenance cost of manual rules is greatly reduced and the efficiency of rule generation is significantly improved. The feature knowledge base supports dynamic updating, may integrate third-party threat information in real time, and ensures the continuous defense ability against new attacks and variant detection means.

Abstract: A phase shifter is provided. The phase shifter includes a plurality of phase shift units coupled in sequence. At least one phase shift unit of the plurality of phase shift units includes: a first conductive structure and a second conductive structure. The first conductive structure includes at least one first transmission line, and a second transmission line connected to the at least one first transmission line, the second transmission line being configured as an inductive load. The second conductive structure includes at least one third transmission line, each third transmission line being configured to form a capacitor with a first transmission line. The first transmission line, the third transmission line and the capacitor constitute at least a portion of a phase shift communication path of the phase shifter.

Abstract: The disclosure relates to the technical field of cloud resource pools, and in particular to a cloud security source pool system based on distributed architecture. The system includes: a central control unit, configured for building a cloud resource pool according to security device parameters, where the cloud resource pool includes multiple virtual security machines; and a security monitoring unit, configured for setting multiple request categories according to network structure parameters. The security monitoring unit is further configured for constructing a security sub-model of each of the request categories. Based on the distributed architecture and virtualization technology, each security device is built as a virtual security machine, and a cloud resource pool is built according to all virtual security machines, so as to realize the dynamic call of all security resources, and at the same time, multiple request categories are built based on historical parameters.

Abstract: A network mapping behavior anomaly detection method and system based on machine learning is provided. The method includes: collecting dual-source traffic data, generating a structured log data set through dual-source log fusion engine; performing subgraph matching calculation to obtain a mapping behavior deviation degree; generating communication data containing a watermark identifier in a session corresponding communication path; verifying whether attack events carry the watermark identifier; generating a network mapping behavior anomaly detection report.

Abstract: Provided are harmless attack verification and analysis method and system. The method includes: acquiring multi-source security data, determining attack cases in the data to construct an attack knowledge graph; constructing a scenario-based attack flow chart based on the graph, and formulating a harmless attack task based on the chart; determining a number of paths and a number of nodes of attack paths in the harmless attack task, and decomposing the harmless attack task into sub-tasks based on the number of paths and the number of nodes; acquiring path information of each attack path, determining a complexity of the attack path based on the path information, and determining attack priorities of the sub-tasks based on the complexities of the attack paths; and determining an attack sequence of the sub-tasks based on the attack priorities, and performing simulated attack verification on a protection boundary by the sub-tasks in the attack sequence.

Abstract: A network security operation workbench is provided, and relates to the technical field of network security, and includes: a data monitoring module, configured for performing security monitoring on network events in systems, identifying abnormal data and outputting to obtain abnormal information; a threat analysis module, configured for performing secondary identification on the abnormal information by using preset identification algorithms, obtaining threat types and levels corresponding to abnormal events in the abnormal information, and generating threat identification information; a risk processing module, configured for analyzing the threat identification information, matching to obtain corresponding coping strategies and methods, and performing security management operations on the abnormal events based on the coping strategies and methods; a log generation module, configured for recording an identification and analysis process and a security management operation process of each of abnormal events in the

Abstract: This disclosure provides a novel compositions and methods to deliver cyclosporine A using genetically engineered protein polymers.