Abstract: Embodiments of the disclosure provide a system for controlling an emission of laser beams using a plurality of scanning patterns by an optical sensing device. The plurality of scanning patterns interleavingly cover a field of view of the optical sensing device. The system includes a controller that is configured to detect an object within a functional distance range from the optical sensing device based on a reflected first laser beam received by the optical sensing device. The first laser beam is emitted towards a first scanning point in a first scanning pattern. The controller is also configured to determine an aperture extending from the first scanning point, and control the optical sensing device to emit a second laser beam towards a second scanning point in a second scanning pattern and skip the scanning points between the first scanning point and the second scanning point in the aperture.

Abstract: The present application discloses a human T-lymphoblastic leukemia/lymphoma cell strain named as ZYXY-T1, and its construction method and use thereof. It was conserved in China Center for Type Culture Collection (Wuhan, China) on Jan. 20, 2021, and the preservation number was CCTCC NO: C202143. The present application is obtained by separating mononuclear cells from peripheral blood of one ETP-ALL patient, and culturing the cells in vitro for continuous natural passage. The strain has the typical surface antigen expression characteristics of ETP-ALL, that is, it does not express CD1?, CD5 or CD8, and highly expresses a stem cell marker CD34, and has good proliferation ability in vitro and tumorigenesis ability in vivo; it can be used as a cell material to study the occurrence and development mechanism of ETP-ALL, and can also be used to screen and evaluate ETP-ALL drugs to guide clinical medication.

Abstract: Embodiments of the disclosure provide a system for controlling an emission of laser beams by an optical sensing device. The system includes a controller configured to detect an object within a field of view based on a laser beam reflected by the object and received by the optical sensing device. The laser beam is emitted at a current scanning point according to a first laser emission scheme. The controller is also configured to determine a distance of the object from the optical sensing device. The controller is further configured to, in response to the distance being within a functional distance range, control the optical sensing device to emit laser beams according to a second laser emission scheme towards an aperture extending from the current scanning point. The second laser emission scheme reduces a number of scanning points in the aperture compared to the first laser emission scheme.

Abstract: Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes a beam reflecting unit comprising a plurality of digital micromirror devices (DMDs). The beam reflecting unit is configured to receive an input laser beam returned from an object being scanned by the LiDAR and reflect the input laser beam by at least one DMD selectively switched to an “ON” state at an operation angle to form an output laser beam towards a detector. The detector is configured to receive the output laser beam.

Abstract: A method includes: determining first indication information, where the first indication information indicates a resource location of a second synchronization signal block, and the second synchronization signal block is associated with control information; and sending a first synchronization signal block, where a physical broadcast channel in the first synchronization signal block carries the first indication information.

Abstract: Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Abstract: The present disclosure provides a centralized charging cabinet, including: a charging cabinet, provided with an isolation area and a charging area therein; an isolation transformer, provided in the isolation area; and at least one charging unit, provided in the charging area, where each of the charging unit is electrically connected to a secondary winding of the isolation transformer through a plurality of first connection structures, and the plurality of first connection structures are located at a back region of the charging area. In the centralized charging cabinet, the isolation transformer is provided in the isolation area inside the charging cabinet, the charging unit is provided in the charging area inside the charging cabinet, which realizes a centralized layout of the isolation transformer and the charging unit and improves the space utilization.

Abstract: In some examples, an apparatus is provided. The apparatus comprises: an illuminator having an adjustable field of view (FOV), the FOV being adjusted based on setting a direction of propagation of light to illuminate the FOV; a light detector; and a controller configured to: control the illuminator to project the light along a first direction of propagation to illuminate a first FOV; control the illuminator to project the light along a second direction of propagation to illuminate a second FOV; detect, using the light detector, reflected light received from the first FOV and the second FOV to generate one or more detection outputs for a combined FOV including the first FOV and the second FOV; and perform at least one of a detection operation or a ranging operation of an object in the combined FOV based on the one or more detection outputs.

Abstract: Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes an acousto-optical (AO) beam deflecting unit configured to receive an input laser beam and a controller configured to cause an acoustic signal to be applied to the AO beam deflecting unit to deflect the input laser beam for a deflection angle and form an output laser beam towards a beam sensor. The deflection angle between the input and the output laser beams is nonzero.

Abstract: A preparation method for an yttrium aluminum garnet continuous fiber. The method prepares a spinnable precursor sol by utilizing an Al13 colloidal particles contained alumina sol, ?-AlOOH nano-dispersion, yttria sol, glacial acetic acid and polyvinylpyrrolidone, then prepares a gel continuous fiber by adopting a dry spinning technique, and carries out a heat treatment to obtain the yttrium aluminum garnet continuous fiber.

Abstract: A virtual memory management method applied to an intelligent processor including an operation accelerator includes: determining m storage units from a physical memory, the m storage units forming a virtual memory; dividing the m storage units into n storage groups; determining an address mapping relationship for each storage group to obtain n address mapping relationships, the n address mapping relationship being correspondence of between n virtual addresses of the virtual memory and physical addresses of the m storage units, where m and n are dynamically updated according to requirements of the operation accelerator. In the method, the number of the storage units in each storage group can be configured according to requirements of the operation accelerator, and a data storage bit width and a data storage depth of the virtual memory are dynamically updated to thereby improve data access efficiency.

Abstract: The present disclosure relates to methods, systems, and computer program products for implementing a deep neural network in a field-programmable gate array (FPGA). In response to receiving a network model describing a deep neural network, a plurality of layers associated with the deep neural network may be determined. With respect to a layer in the plurality of layers, a parallelism factor for processing operations associated with the layer simultaneously by processing elements in an FPGA may be determined based on a workload associated with the layer and a configuration of the FPGA.

Abstract: Microelectronic devices include a lower deck and an upper deck, each comprising a stack structure with a vertically alternating sequence of insulative structures and conductive structures arranged in tiers. A lower array of pillars extends through the stack structure of the lower deck, and an upper array of pillars extends through the stack structure of the upper deck. Along an interface between the lower deck and the upper deck, the pillars of the lower array align with the pillars of the upper array. At least at elevations comprising bases of the pillars, a pillar density of the pillars of the lower array differs from a pillar density of the pillars of the upper array, “pillar density” being a number of pillars per unit of horizontal area of the respective array. Related methods and electronic systems are also disclosed.

Abstract: A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.

Abstract: A medical device, comprising a housing, a combined modular structure which is formed by connecting a board card and an interface panel to a main bracket; a first opening arranged on the housing for the insertion of the combined modular structure; a first locking structure for locking and fixing the combined modular structure to the housing; a screen assembly; a second opening arranged on the housing for mounting the screen assembly, and a second locking structure for locking and fixing the screen assembly to the housing. The integral arrangement of a functional module of a medical device helps to improve the assembly precision between various components, and ensure the reliability of the connection between components. The housing adopts an integral structure, has good waterproof and dustproof effects as well as low production costs; the present disclosure facilitates the assembly of board card and other components, as well as module configuration and modular testing while also having good seismic performance.

Abstract: Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

Abstract: Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes a beam converging device and an EO beam deflecting unit. The beam converging device is configured to receive a laser beam from an object being scanned by the LiDAR and form an input laser beam. The EO beam deflecting unit is configured to generate a non-uniform medium having at least one of a refractive index gradient or a diffraction grating, receive the input laser beam such that the input laser beam impinges upon the non-uniform medium, and form an output laser beam towards a photosensor. An angle between the input and the output laser beams is nonzero.

Abstract: A continuous heating control system and method, and an air-conditioning device. The system includes a defrosting solenoid valve (1) arranged on a bypass pipeline, wherein one end of the bypass pipeline is connected to an oil separator (2), and the other end of the bypass pipeline is connected to an outdoor heat exchanger (3); and a heating structure which is arranged at the bottom of a gas separator (4) and used for heating the gas separator (4).

Abstract: A method for training a course recommendation model, a method for course recommendation, and an apparatus, which relate to a field of big data and deep learning in a field of artificial intelligence technology, and can be applied to recommendation scenarios. The training method includes: obtaining a sample data set, where the sample data set includes user learning data, the user learning data includes record data and ability label data, the record data is used for representing a historical learning process of a sample user, and the ability label data is used for representing a learning ability level of the sample user, and training and generating the course recommendation model according to the user learning data, where the course recommendation model is used for recommending a course for a user, the technical effect of improving the reliability and accuracy of course recommendation is achieved.

Abstract: An automatic plugging/unplugging device for a connector, an automatic plugging method, an automatic unplugging method, and a computer-readable storage medium are disclosed. The automatic plugging/unplugging device may include a clamping unit (201) and a force detection unit (202). The clamping unit (201) is configured to hold a connector (10), and may include at least one of a vibration sensor (2017) and a sound sensor (2014). The vibration sensor (2017) is configured to detect the vibration resulting from plugging or unplugging the connector (10), and the sound sensor (2014) is configured to detect the sound generated during plugging or unplugging the connector (10). The force detection unit (202) may include a detection base (2021) and a force sensor (2023). The force sensor (2023) is configured to detect the magnitude of a plugging or unplugging force generated during plugging or unplugging the connector (10).