Abstract: A flame arrester includes a flame arrester housing that has a fluid channel defined therein and an inlet and an outlet which are communicated with the fluid channel. The fluid channel is internally provided with a flame arresting unit for preventing flame propagation One side of the flame arresting unit is provided with a deformation unit configured to deform when the internal temperature of the fluid channel reaches a preset temperature to reduce the flow area of the fluid channel towards the outlet. The deformation unit is provided on one side of the flame arresting unit, and when continuous combustion is formed at the flame arresting unit, the deformation unit deforms to reduce the flow area of the fluid channel on the surface of the flame arresting unit to increase a gas flow rate to move the flame is away from the surface of the flame arresting unit.

Abstract: Three-dimensional (3D) memory devices and fabricating methods thereof are disclosed. In certain aspects, a disclosed 3D memory device comprises a first semiconductor structure including a core region, a spacer region, and a periphery region, and a second semiconductor structure including a second periphery circuit on a substrate. The first semiconductor structure comprises a memory stack on a semiconductor layer in the core region, a first periphery circuit on the semiconductor layer in the periphery region, and a spacer structure in the spacer region to separate the memory stack and the first periphery circuit. The second semiconductor structure is connected to the first semiconductor structure.

Abstract: A device and method for preparing a low-impurity regenerated brass alloy through step-by-step insertion of an electrode are provided. The device includes a melt heating apparatus, an electrode displacement apparatus, and a pulse current generation apparatus. The automatic electrode lifting apparatus is controlled to adjust an insertion depth of the graphite electrode plate in the metal melt, and the pulse current generation apparatus is controlled to adjust the parameters of pulse current to achieve the impurity reduction on the metal melt. The preparation of a low-impurity regenerated brass alloy involves a short production process, simple operations, low energy consumption, and high impurity removal efficiency, and is suitable for regeneration and large-scale continuous production of non-ferrous metal alloys.

Abstract: Disclosed is a software PUF based on an RISC-V processor for IoT security. A 32-bit RISC-V processor is used to generate abnormal information results in an abnormal operating state under a low voltage, and the abnormal information results are used to represent the features of the 32-bit RISC-V processor; 5-bit binary data obtained by comparing the abnormal information results with normal information results has high randomness and uniqueness and it is extremely difficult to directly extract internal abnormal information result from a hardware circuit of the 32-bit RISC-V processor, so modeling attacks based on the 5-bit binary data calculated according to the abnormal information results of the 32-bit RISC-V processor are almost impossible; in addition, when the 32-bit RISC-V processor is in an abnormal operating state, the operating frequency of the 32-bit RISC-V processor is dynamically adjusted through a frequency compensation method.

Abstract: A system and a method are disclosed for compensating a global navigation satellite system (GNSS) signal, including obtaining, by a correlation module, sample data which corresponds to a GNSS signal obtained based on an oscillator frequency of a crystal oscillator; obtaining, by the correlation module, aiding information which is determined based on information about the crystal oscillator; performing, by the correlation module, compensation processing on numerically-controlled oscillator (NCO) state data based on the aiding information, to obtain compensated NCO state data; performing, by the correlation module, correlation processing on the sample data based on the compensated NCO data; storing the compensated NCO state data in an NCO memory; and determining location information about a location of an electronic device corresponding to the correlation module based on the compensated sample data.

Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.

Abstract: The present invention discloses a method for receiving scheduling information, comprising steps of: receiving Downlink Control Information (DCI); and determining, according to a mapping relationship between configured transmission resources used for a Physical Uplink Shared Channel (PUSCH) and scheduling information in the DCI, scheduling information corresponding to the PUSCH in the DCI. Compared with the prior art, in the present invention, the scheduling information in the DCI is determined by the mapping relationship between the configured transmission resources used for transmitting the PUSCH by a UE and the scheduling information in the DCI, so that a base station can schedule all UEs for which there is a mapping relationship between PUSCH configured transmission resources and the scheduling information in DCI by sending only one piece of DCI. The scheduling overhead is reduced, the resource waste is reduced, and the efficiency of scheduling terminals by a communication system is significantly improved.

Abstract: Techniques for using transfer learning to address label data shortage in seniority modeling for an online service are disclosed herein. In some embodiments, a computer-implemented method comprises training an initialized neural network using training examples comprising profile data and labels for the profile data, where each label comprises a standardized position title, and the training of the initialized neural network forms a pre-trained neural network. Next, the computer system may train the pre-trained neural network using training examples comprising profile data and labels for the profile data, where the labels comprise a position seniority, and the training of the pre-trained neural network forms a fine-tuned neural network. The computer system may then compute the position seniority for a user based on profile data of the user using the fine-tuned neural network, and use the position seniority of the user in an application of an online service.

Abstract: In certain aspects, a method for forming a three-dimensional (3D) memory device is disclosed. A stack structure including interleaved first dielectric layers and second dielectric layers is formed. Channel structures extending through the first dielectric layers and the second dielectric layers in a first region of the stack structure are formed. All the second dielectric layers in the first region and parts of the second dielectric layers in a second region of the stack structure are replaced with conductive layers. Word line pick-up structures extending through the first dielectric layers and remainders of the second dielectric layers in the second region of the stack structure are formed at different depths, such that the word line pick-up structures are electrically connected to the conductive layers, respectively, in the second region of the stack structure.

Abstract: In certain aspects, a three-dimensional (3D) memory device includes channel structures in a first region and word line pick-up structures in a first portion of a second region. The first region and the second region are arranged in a first direction. The 3D memory device also includes word lines each extending in the first region and a second portion of the second region. The first portion and the second portion of the second region are arranged in a second direction perpendicular to the first direction. The 3D memory device also includes dummy channel structures in the second portion of the second region. Adjacent channel structures are spaced apart from each other by a first distance. Adjacent dummy channel structures are spaced apart from each other by a second distance that is smaller than the first distance.

Abstract: In certain aspects, a three-dimensional (3D) memory device includes channel structures in a first region, word line pick-up structures in a dielectric portion of a second region, and word lines each extending in the first region and a conductive portion of the second region. The first region and the second region are arranged in a first direction. The dielectric portion and the conductive portion of the second region are arranged in a second direction perpendicular to the first direction. The word lines are discontinuous in the dielectric portion of the second region and are electrically connected to the word line pick-up structures, respectively.

Abstract: The present application relates to a pregabalin sustained release composition, comprising: (a) an active ingredient; (b) a matrix-forming agent; (c) a swelling agent; (d) a gelling agent; and optionally a filler. The pregabalin sustained release composition provided in the present application can rapidly swell in volume when exposed to aqueous medium until exceeding the dimeter of human gastric pyloric (13 mm). It thereby prolongs the gastric emptying time to increase the retention time of pregabalin in the stomach and enhances absorption of pregabalin in the small intestine and ascending colon. Moreover, the pregabalin sustained release composition provided herein achieves a sustained release for 24 h, which allows QD (once a day) administration, reduces administration number, and improves patient compliance.

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.

Abstract: This application relates to a battery module, a device, and a failure handling method for a failed battery cell. The battery module includes: battery cells, where each battery cell includes a housing, a top cover, and an electrode assembly, the housing is connected to the top cover, the housing includes a first accommodation cavity, the electrode assembly is located inside the first accommodation cavity, the top cover is provided with a positive electrode terminal and a negative electrode terminal, and the battery cells further include a failed battery cell; and a conductive component, connected to the positive electrode terminal and the negative electrode terminal of the failed battery cell. After being connected to the electrode terminals, the conductive component does not occupy space outside the failed battery cell, improving safety of the battery module.

Abstract: A system and a method are disclosed for calculating correlations with different context lengths. In some embodiments, the system includes: a correlation engine; and a first input sample memory operatively coupled to the correlation engine, the correlation engine including a channel selection controller and being configured, under the control of the channel selection controller: to execute, during a first execution interval, a first channel, the first channel having a first context length; and to execute, during the first execution interval, a second channel, the second channel having a second context length, different from the first context length.

Abstract: A method of processing an image includes: acquiring a first image for a target object by using a first imaging method (S110); acquiring a second image for the target object by using a second imaging method (S120); constructing a first sub-image and a second sub-image based on the first image (S130); constructing a third sub-image and a fourth sub-image based on the second image (S140); and determining a pixel value distribution information of a fused image based on a pixel value distribution information of each of the first sub-image, the second sub-image, the third sub-image, and the fourth sub-image, so as to obtain the fused image (S150). An apparatus of processing an image, a computing device, and a computer-readable storage medium are further provided.

Abstract: Disclosed is a software PUF based on an RISC-V processor for IoT security. A 32-bit RISC-V processor is used to generate abnormal information results in an abnormal operating state under a low voltage, and the abnormal information results are used to represent the features of the 32-bit RISC-V processor; 5-bit binary data obtained by comparing the abnormal information results with normal information results has high randomness and uniqueness and it is extremely difficult to directly extract internal abnormal information result from a hardware circuit of the 32-bit RISC-V processor, so modeling attacks based on the 5-bit binary data calculated according to the abnormal information results of the 32-bit RISC-V processor are almost impossible; in addition, when the 32-bit RISC-V processor is in an abnormal operating state, the operating frequency of the 32-bit RISC-V processor is dynamically adjusted through a frequency compensation method.

Abstract: A wireless charging method, a receiver, a terminal device, and a charger are provided. A receiver (20) includes an oscillation circuit (210), a power processor (220), a sampling control module (230), and an auxiliary power supply module (240). In a ping phase, the oscillation circuit receives first energy sent by a transmitter (10), and the sampling control module collects a first voltage value output by the oscillation circuit based on the first energy, and when the first voltage value is less than a startup voltage value of the power processor, controls the auxiliary power supply module to supply power to the power processor, so that the power processor is started. In a power transfer phase, the power processor sends a power transfer instruction to the transmitter, so that the transmitter sends second energy based on the power transfer instruction, to provide electric energy for a load in the receiver.

Abstract: A large-scale network node simulation method based on Linux container is provided, which solves problems of low packet transmission efficiency and multi-thread creation in real-time simulation in a large-scale network scenario. The method includes: scheduling all container nodes in a scenario; managing, by a container node, a dynamic thread through an idle thread management queue, and setting a finite state machine and a function pointer for the dynamic thread; registering, by a source container node, an output queue with a next-hop container node, and informing the next-hop container node to allocate a dynamic thread for receiving and processing the output queue. Packet transmission is realized between the container nodes through data units created in a shared memory. The sending thread and the receiving thread dynamically adjust the number of dynamic threads by checking the state of the output queue.

Abstract: This application discloses a data processing method, applied to the field of artificial intelligence, including: obtaining to-be-processed data; and processing the to-be-processed data by using a trained neural network, to output a processing result. The neural network includes a feature extraction network and a classification network. The feature extraction network is configured to extract a feature vector expressed by the to-be-processed data in hyperbolic space. The classification network is configured to process the feature vector based on an operation rule of the hyperbolic space, to obtain the processing result. In this application, precision of processing by a model a data set including a tree-like hierarchical structure can be improved, and a quantity of model parameters can be reduced.