Abstract: The present application provides a cooking apparatus and a heat exhaust method. The cooking apparatus includes a main body, a heat exhaust assembly, a cooking-chamber assembly and a door plate. The main body includes an accommodating cavity and an air vent. The exhaust assembly includes a heat dissipation member and a suction member. The suction member has a heat dissipation channel and includes a first air inlet end, a second air inlet end, and an air outlet side. The air outlet side is in communication with the heat dissipation channel. The cooking-chamber assembly is disposed in the accommodating cavity and includes a cooking chamber (31). A cooling air duct formed between an inner wall and an outer wall of the cooking-chamber assembly is in communication with the first air inlet end. A suction air duct is formed between the door plate and the second air inlet end.

Abstract: An information propagation prediction method based on a sequential hypergraph neural network with co-attention fusion. The method includes three modules: a user feature learning module learning a user embedding by utilizing a graph convolutional neural network; a cascade feature learning module constructing a sequential hypergraph neural network based on equivariant diffusion to capture a complex cascade irregular connection so as to learn a cascade embedding of internal and external features of an encapsulated cascade structure; and a feature fusion and prediction module learning an interdependence between cascade features and user features by means of a co-attention mechanism so as to capture a complex relationship and interaction between the cascade features and the user features, and then calculating a possibility of potential user infection.

Abstract: Proactively detecting malicious domains using graph representation learning may be provided by extracting seed domains from a uniform resource locator (URL) feed of observed requests for access to domains; expanding the seed domains to a via a passive domain name service (PDNS) crawl to include additional domains with the seed domains; collecting a ground truth, including labeling a first set of the seed domains as benign and a second set of the seed domains as malicious; constructing a graph neural network (GNN) of the additional domains and the seed domains, wherein each domain of the additional domains and the seed domains are represented as a node in the GNN that includes feature values associated that domain; training the GNN to classify unseen domains not associated with a node as either benign or malicious; and classifying, via the GNN, a queried domain as either benign or malicious.

Abstract: A cooking apparatus is provided. The cooking apparatus includes a heat-gathering unit and an external discharge unit, the heat-gathering unit includes an external discharge connecting member and is provided with a cooking cavity formed on an inner side of the external discharge connecting member. The external discharge unit includes a flow guide member, the flow guide member is connected to the external discharge connecting member and is provided with an external discharge channel. The exhaust unit further includes a baffle member located in the external discharge channel. The baffle member is provided with an external leakage gap, and the external leakage gap is in communication with the cooking cavity with the external discharge channel; and/or, the external leakage gap is in communication with the exhaust discharge channel with an outside of the cooking apparatus.

Abstract: The present application relates to a baking cooking apparatus. The baking cooking apparatus includes an cooking-chamber assembly, a hot fan baffle, a back plate and a purification assembly. The cooking-chamber assembly and the back plate are respectively located on two sides of the hot fan baffle. A cooking chamber is formed between one side of the hot fan baffle and the cooking-chamber assembly. A hot air chamber is formed between the other side of the hot fan baffle and the back plate. The hot fan baffle is provided with air outlet holes and a return air holes to communicate the cooking chamber with the hot air chamber. At least part of the purification assembly is arranged in the hot air chamber.

Abstract: A method and device for interpreting a graph neural network based on FPGA acceleration propose to use FPGA hardware to accelerate interpretation process of the graph neural network oriented to node classification in parallel, and improve node traversal and shortest path search of BFS, thereby optimizing requirements of algorithm calculation and storage, and accelerating generation of interpretation results. During calculating HN values, the present disclosure optimizes multiplication operation using the matrix characteristics, transforms the dense matrix multiplication into sparse-dense matrix multiplication, and optimizes the resource occupation using multi-PE parallel processing, greatly improving performance of graph neural network interpretation acceleration.

Abstract: Generating high-quality threat intelligence from aggregated threat reports is provided via developing a generative model that identifies relationships between a plurality of threat assessment scanners; pre-training a plurality of individual encoders based on a corresponding plurality of pretext tasks and the generative model; combining the individual encoders into a pre-trained encoder; fine-tuning the pre-trained encoder using threat data; and marking a candidate threat, as evaluated via the pre-trained encoder as fine-tuned, as one of benign or malicious.

Abstract: A drive acceleration circuit, including: a drive power supply, including an output end and a reference signal end, where the output end output a drive signal, and the reference signal end is connected to a connection end of a switching device and output a reference signal to the connection end; a first signal route, where the first signal route is connected to the output end of the drive power supply and a control end of the switching device, and is configured to drive, based on the drive signal, the switching device to turn on/off; and a second signal route, connected in parallel with the first signal route, including a drive acceleration unit and a selective conduction unit, one end of the drive acceleration unit is connected to the drive power supply, another end of the drive acceleration unit is connected to the switching device through the selective conduction unit.

Abstract: Disclosed is an air microorganism enrichment device in farms. The device comprises a shell, a collection assembly, an air extraction component, a flow monitoring component, a display component and a processing component, wherein the collection assembly is detachably arranged on the shell and can fix the relative position with the shell; the collection assembly is provided with a collection cavity, a collection air inlet and a collection air outlet, and is used for collecting microorganisms introduced in the air; the air extraction component communicates with the collection air outlet; the flow monitoring component monitors the exhaust flow of an air outlet pipeline and sends a flow signal; and the processing component is in communication connection with the flow monitoring component and the display component, and the processing component receives the flow signal and transmits the flow signal to the display component to display exhaust flow information.

Abstract: A superhydrophobic coating having a three-dimensional porous nanocomposite structure, includes: a constructing unit and a bonding unit; the constructing unit comprises inorganic hydrophobic nanoparticles, the bonding unit comprises hydrophobic polymer nanomicrospheres, and the inorganic hydrophobic nanoparticles and the hydrophobic polymer nanomicrospheres are interconnected to form uniform pores. A method for preparation of the superhydrophobic coating includes: mixing the inorganic hydrophobic nanoparticles with the hydrophobic polymer nanomicrospheres in a dispersant to form a coating solution; and coating the coating solution on the surface of a substrate using a dip coating, roll coating or spray coating process, and drying to form the superhydrophobic coating of a three-dimensional porous nanocomposite structure.

Abstract: Disclosed in the present invention are a dynamic maximal clique enumeration device and method based on an FPGA with an HBM, the method including: the HBM stores a dynamic edge flow, a complete graph adjacency matrix, and candidate cliques; a matrix computing unit updates the complete graph adjacency matrix based on the dynamic edge flow, transmits the updated complete graph adjacency matrix to the HBM for storage, and determines header nodes, of which the corresponding candidate clique needs to be updated; a sequence computing unit constructs, according to the updated complete graph adjacency matrix and each header node to be updated, the sorted data set for reconstructing candidate cliques by data block sequencing; and an update computing unit executes, in parallel, an update task of the candidate clique corresponding to each header node to be updated based on the sorted data set, transmits the updated candidate cliques to the HBM for storage, and transmits the updated candidate cliques to the PC host to ext

Abstract: The present disclosure relates to an automated tool for STIX report generation from threat intelligence text. In a second aspect of the present disclosure, a method of using an automated tool for STIX report generation from threat intelligence text.

Abstract: A power conversion device includes a terminal board, an electric energy conversion circuit, and a controller. A first terminal and a first temperature sampling circuit are disposed on the terminal board. The first terminal is connected to a direct current power supply or the electric energy conversion circuit by using a protection switch. The first temperature sampling circuit is configured to collect a temperature parameter of the first terminal. The controller obtains the temperature parameter collected by the first temperature sampling circuit. When the temperature parameter of the first terminal is greater than a temperature parameter threshold, the controller controls the protection switch to turn the protection switch off.

Abstract: Disclosure is a composite mouse model for simulating the exacerbation of periodontitis by hyperuricemia, as well as the establishment methods and applications thereof. The establishment methods includes: intraperitoneally injecting potassium oxonate into a mouse continuously for 7 days to establish a hyperuricemia model; ligating the maxillary second molar of the mouse with a surgical silk thread to construct a periodontitis model; continuously intraperitoneally injecting potassium oxonate into the mouse for another 7 days (days 8 to 14) to establish a composite mouse model that simulates exacerbation of periodontitis by hyperuricemia; continuously intraperitoneally injecting potassium oxonate for 14 days (days 15 to 28) at a fixed frequency once a day to maintain stability of the hyperuricemia model and constructing a stable hyperuricemia compound periodontitis mouse model; and on the 15th day, intraperitoneally injected allopurinol for 14 days continuously to decrease uric acid.

Abstract: Disclosed in the present invention are a dynamic maximal clique enumeration device and method based on an FPGA with an HBM, the method including: the HBM stores a dynamic edge flow, a complete graph adjacency matrix, and candidate cliques; a matrix computing unit updates the complete graph adjacency matrix based on the dynamic edge flow, transmits the updated complete graph adjacency matrix to the HBM for storage, and determines header nodes, of which the corresponding candidate clique needs to be updated; a sequence computing unit constructs, according to the updated complete graph adjacency matrix and each header node to be updated, the sorted data set for reconstructing candidate cliques by data block sequencing; and an update computing unit executes, in parallel, an update task of the candidate clique corresponding to each header node to be updated based on the sorted data set, transmits the updated candidate cliques to the HBM for storage, and transmits the updated candidate cliques to the PC host to ext

Abstract: An infectious disease infection prediction method, an apparatus, and a storage medium based on macro-micrograph fusion are provided. The method includes: acquiring macrographs of a plurality of first regions and micrographs of second regions within a set period; inputting the macroscopic graphs and the microscopic graphs into two graph convolutional neural networks to obtain two hidden layer vectors respectively, and fusing the two hidden layer vectors to obtain fusion hidden layer information of the first regions; performing a time sequence calculation of the fusion hidden layer information to obtain time sequence hidden layer information of the first regions; inputting the time series hidden layer information into two prediction networks to obtain two prediction results, respectively, and performing fusion calculation of the two prediction results to obtain a final prediction result of infectious diseases in the first regions.

Abstract: A graph calculation method of RNA similarity analysis, an apparatus, a device, and a medium are provided. The method includes: converting sequence data of a looked-up RNA into a looked-up RNA structure graph; obtain a first similarity between the looked-up RNA structure graph and a target RNA structure graph; obtaining a second similarity based on the number of base constituent structures in the looked-up RNA structure graph and the number of base constituent structures in the target RNA structure graph; reconstructing the looked-up RNA structure graph based on the base constituent structures in the looked-up RNA structure graph to generate a looked-up RNA higher-order graph; and analyzing similarity between the looked-up RNA higher-order graph and a target RNA higher-order graph to obtain a third similarity; and obtaining a final similarity between the looked-up RNA and the target RNA based on the first similarity, the second similarity, and the third similarity.

Abstract: Example systems, methods, and apparatus are disclosed herein for zero-shot black-box detection of neural Trojans.

Abstract: The present invention provides a polynucleotide and recombinant AAV encoding human alpha galactosidase A. The present invention also provides a method of treating Fabry disease comprising administering the recombinant AAV to a subject in need thereof.

Abstract: The provided is a construction method for a flood storage area ecological wetland oriented to multi-target collaborative promotion. The construction method includes: I. carrying out ecological wetland construction on a flood storage area by taking promotion of agricultural production as a goal; II. according to a water purification target of the flood storage area of the ecological wetland and a current pollution condition in the flood storage area, constructing the ecological wetland based on improvement of the water purification target when the flood storage area does not reach the water purification target at present; and III, in order to improve the biodiversity, carrying out the following ecological wetland construction on the flood storage area. In the method, agricultural production, water purification and biodiversity improvement of the flood storage area are comprehensively considered. The method is the most effective way for multi-target collaborative promotion of the flood storage area.