Abstract: A digital twin-based edge-end collaborative scheduling method for heterogeneous tasks and resources includes the following steps: establishing an edge wireless network based on digital twin; constructing an edge-end collaborative scheduling problem prototype of the heterogeneous tasks and resources; performing problem conversion based on a multi-agent Markov decision process; constructing an Actor-Critic neural network model based on multi-agent deep reinforcement learning; performing offline centralized training of the neural network model by digital twin; performing online distributed execution of task offloading and computation and communication resource allocation by end devices to collaboratively process the heterogeneous tasks.

Abstract: A charging state analysis method of an electric vehicle based on electrical characteristic sequence analysis is provided. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained TRNN in sequence to obtain corresponding results; if the result is 1, it is normal; if the result is 0, it is abnormal.

Abstract: Provided are a PCR primer pair and an application thereof. The PCR primer pair comprises a first primer and a second primer, wherein the first primer comprises a first specific sequence, a first random sequence, and a first universal sequence, the first specific sequence is located at the 3? end of the first primer, the first random sequence is located at the 5? end of the first primer, and the first universal sequence is located between the first specific sequence and the first random sequence; the second primer comprises a second specific sequence, a second random sequence, and a second universal sequence, the second specific sequence is located at the 3? end of the second primer, the second random sequence is located at the 5? end of the second primer, and the second universal sequence is located between the second specific sequence and the second random sequence, wherein the first random sequence and the second random sequence are inversely complementary.

Abstract: An industrial 5G dynamic multi-priority multi-access method based on deep reinforcement learning includes the following steps: establishing an industrial 5G network model; establishing a dynamic multi-priority multi-channel access neural network model based on deep reinforcement learning; collecting state, action and reward information of multiple time slots of all industrial 5G terminals in the industrial 5G network as training data; training the neural network model by using the collected data until the packet loss ratio and end-to-end latency meet industrial communication requirements; collecting the state information of all the industrial 5G terminals in the industrial 5G network at the current time slot as the input of the neural network model; conducting multi-priority channel allocation; and conducting multi-access by the industrial 5G terminals according to a channel allocation result.

Abstract: A multilayer polymer sheet and a dental appliance are provided. The multilayer polymer sheet includes an A-layer polymer and a B-layer polymer. The A-layer polymer is polyamide (PA), including the following groups: (1) 36 mol % to 40 mol % of 4,4-methylenebis(2-methylcyclohexylamine); (2) 36 mol % to 40 mol % of an aromatic dicarboxylic acid, which is 1,3-benzenedicarboxylic acid (IPA) and/or 1,4-benzenedicarboxylic acid (TPA); and (3) 20 mol % to 28 mol % of an alicyclic or aliphatic amino acid or lactam. The B-layer polymer is located between two layers of the A-layer polymer. The B-layer polymer is at least one selected from the group consisting of a thermoplastic polyurethane (TPU), an ethylene-vinyl acetate (EVA) copolymer, and a copolyester.

Abstract: Provided are antibody prodrugs that include an immunoglobulin superfamily constant region, such as CH3, or variant coupled to one or more chains of the antibody, optionally through a cleavable linker. It is discovered that the constant domain and variants serve as effective and safe masking moieties that inhibit the activity of the antibody. Once removed from the antibody, such as by a corresponding enzyme at a target treatment tissue, the antibody prodrug releases the active antibody. In tissues where no such enzyme is present, the antibody prodrug stays inactive, avoiding adverse effects in such tissues.

Abstract: A method for matching audio clips includes: obtaining a first feature sequence corresponding to a first audio clip and a second feature sequence corresponding to a second audio clip; constructing a distance matrix, elements in the distance matrix representing respective distances between first positions in the first feature sequence and second positions in the second feature sequence; calculating a first accumulation distance between a start position and a target position in the distance matrix, and calculating a second accumulation distance between an end position and the target position in the distance matrix; and calculating a minimum distance between the first feature sequence and the second feature sequence based on the first accumulation distance and the second accumulation distance, and determining a degree of matching between the first audio clip and the second audio clip according to the minimum distance.

Abstract: Methods for synthesizing and using R-hydroxynitrile lyase derived from mango. Specifically, a variety of mutant cyanohydrin lyases were obtained by mutating a wild-type hydroxynitrile lyase gene, adding an enzyme cleavage site thereto, preparing a recombinant plasmid by inserting the mutated wild-type hydroxynitrile lyase gene into a vector, introducing the recombinant plasmid into a strain of bacteria, and secreting and expressing the R-hydroxynitrile lyase in the strain. The method Is safe, simple and easy to operate.

Abstract: The invention discloses a charging state analysis method of a electric vehicle based on electrical characteristic sequence analysis. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained Time Recurrent Neural Network (TRNN) in sequence to obtain corresponding results; if the result is 1, it means normal; if the result is 0, it means abnormal.

Abstract: A method for preparation of and use of R-hydroxynitrile lyase derived from mango. Specifically, a variety of mutant cyanohydrin lyases were obtained by constructing random mutation and site-saturation mutagenesis libraries and high-throughput screening, and the method was safe, simple and easy to operate.

Abstract: A non-intrusive load identification method based on the Power Fingerprint characteristics of the load is provided. The method includes: S1, collecting Power Fingerprint characteristic data of several loads of the same type; S2, after preprocessing Power Fingerprint characteristic data of load, establishing convolution neural network based on attention mechanism to learn load characteristics; S3, using sliding time window algorithm to realize load switching event detection, In order to extract the change of electrical data of user bus before and after the switching event, the non-intrusive load identification problem is converted into the single load identification problem; S4, the load identification is realized, and the extracted electrical information features of single load are identified using the trained model.

Abstract: The present invention discloses a data forwarding unit based on a Handle identifier, comprising a dynamic configuration module, a Handle identifier data identification module and a matching-forwarding module. The system of the present invention is applied to network devices such as switches and routers, and supports dynamic configuration of data packet analysis, matching and forwarding rules through data interaction with network systems such as SDN managers, so that the network devices can identify data packets based on the Handle identifier and perform the specified operation on the designated data packets with the Handle identifier according to the rules of dynamic configuration.

Abstract: An industrial 5G dynamic multi-priority multi-access method based on deep reinforcement learning includes the following steps: establishing an industrial 5G network model; establishing a dynamic multi-priority multi-channel access neural network model based on deep reinforcement learning; collecting state, action and reward information of multiple time slots of all industrial 5G terminals in the industrial 5G network as training data; training the neural network model by using the collected data until the packet loss ratio and end-to-end latency meet industrial communication requirements; collecting the state information of all the industrial 5G terminals in the industrial 5G network at the current time slot as the input of the neural network model; conducting multi-priority channel allocation; and conducting multi-access by the industrial 5G terminals according to a channel allocation result.

Abstract: Provided is a method for isolating exosomal DNA, the method comprising: (i) providing a sample, wherein the sample comprises a blood sample from peripheral blood of a pregnant woman; and (ii) subjecting the sample to isolating, thus obtaining the exosomal DNA. Also provided are a method for detecting a blood sample, a method for constructing a sequencing library on a blood sample, a method for high-throughput sequencing an exosomal DNA sequencing library, a method for non-invasive prenatal gene detection, a device for non-invasive prenatal gene detection, and a kit for detecting a blood sample and use thereof.

Abstract: A touch substrate, a touch display panel, a touch display device, and a touch driving method are provided. The touch substrate includes: a base substrate, on which a touch electrode pattern is formed. The touch electrode pattern includes at least one electrode group, and each electrode group includes a driving electrode and a sensing electrode which are arranged in a row along a first direction of the base substrate and insulated from each other. In each electrode group, the driving electrode has a plurality of driving electrode portions coupled to each other, and the sensing electrode has a plurality of sensing electrode blocks. Each driving electrode portion is respectively between two adjacent sensing electrode blocks; and the sensing electrode block has a plurality of sensing electrode regions with different areas.

Abstract: The present invention relates to a trusted measurement and control network authentication method based on double cryptographic values and chaotic encryption. The specific method comprises realizing identity authentication and key negotiation processes through double cryptographic values and chaotic public key ciphers and realizing secure transmission and verification of user identity credentials on the basis of building a trust chain through trusted computation for realizing a secure and trusted operating environment, thereby building a secure and trusted data transmission channel. The identity authentication method in the present invention comprises multiple links such as secure generation of user identity identifiers, read protection encapsulation, secure transmission and key negotiation. Each link adopts a unique and confidential cryptographic function for secure data generation, thereby ensuring the security of the authentication device access in an industrial measurement and control network.

Abstract: The present invention relates to a security processing unit of PLC and a bus arbitration method thereof, to provide PLC with an active defense means to build a PLC hardware and software security layer. On a hardware security layer, a part of hardware processing mechanism is added to support trusted measurement, encryption algorithms and signature algorithms, and a virtual isolation technology is used; and on a software security layer, transparent encryption and decryption, integrity verification, backup recovery and virtual isolation security mechanism are provided. The security processing aspect is improved to achieve the purpose of security and reliability. The present invention can correctly establish a trusted environment of PLC to ensure that PLC is guided by a strictly verified path. A new star type trusted structure is designed to reduce loss during information transmission and increase information transmission efficiency.

Abstract: The present invention relates to a network guard unit for an industrial embedded system and a guard method. The specific method is to form the network guard unit (NGU) through security technologies, such as integrated access control, identity authentication and communication data encryption, to provide active guard for a site control device. The NGU comprises an access control module, an identity authentication module, a data encryption module, a key negotiation module and a PCIE communication module, and supports the communication modes of dual network cards and PCIE bus. The present invention builds a secure and trusted operating environment for industrial control systems in combination with an active guard technical means in the field of information security on the basis of ensuring the correctness and the feasibility of security of various terminal devices in the industrial control systems.

Abstract: A method for matching audio clips includes: obtaining a first feature sequence corresponding to a first audio clip and a second feature sequence corresponding to a second audio clip; constructing a distance matrix, elements in the distance matrix representing respective distances between first positions in the first feature sequence and second positions in the second feature sequence; calculating a first accumulation distance between a start position and a target position in the distance matrix, and calculating a second accumulation distance between an end position and the target position in the distance matrix; and calculating a minimum distance between the first feature sequence and the second feature sequence based on the first accumulation distance and the second accumulation distance, and determining a degree of matching between the first audio clip and the second audio clip according to the minimum distance.

Abstract: The present invention relates to a dynamic security method and system based on multi-fusion linkage response. In the method, a site control device conducts active response and passive response through identity authentication and key management to give an alarm for abnormal behaviors. The system comprises an access authentication active response module, an access control active response module, an access control passive response module, an abnormal pretending passive response module, a key vulnerability passive response module and an abnormal state passive response mechanism module. On the basis of ensuring validity and feasibility for the security of a terminal device, the present invention can build a secure and trusted industrial control system operating environment.