Abstract: The invention provides a low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning, and the method comprises the steps: receiving an uplink signal transmitted by a terminal node through a gateway receiver, demodulating the uplink signal through employing a soft demodulation algorithm, and obtaining a bit log-likelihood ratio; the deep reinforcement learning model completes channel reconstruction of the corresponding link during communication according to the bit log-likelihood ratio; and calculating the current optimal network configuration according to the reconstructed channel so as to distribute the current optimal network configuration to each terminal node during next downlink transmission.

Abstract: The present disclosure provides a pilot proportional control valve apparatus, an automatic calibration method, engineering machinery and a storage medium, and relates to the technical field of engineering machinery, wherein the pilot proportional control valve apparatus including a hydraulic system and a controller; the hydraulic system including: a plurality of proportional pressure reducing valves, a calibration reversing valve, and a pressure sensor; the calibration reversing valve including a plurality of reversing units, an output end of each proportional pressure reducing valve being respectively connected with an input end of one corresponding reversing unit; the pressure sensor being arranged in a detection oil path; the controller performing calibration processing on the proportional pressure reducing valve according to a pilot oil detection pressure and an output pressure value of the proportional pressure reducing valve.

Abstract: A point cloud coding method, including: partitioning a point cloud, and determining a current coding block; determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep corresponding to a level of detail; and upon detecting that the quantization parameter optimization enable identifier is a first value, performing operations for one or more points included in the current coding block.

Abstract: Systems and methods are provided for non-invasively measuring one or more hemodynamic variables using a peripheral arterial region wearable device having a strain sensor and a photoplethysmogram sensor. Different line fit profiles are determined from device collected signals indicative of the strain response versus externally applied cuff pressure and the blood volume and/or the blood circulation changes versus externally applied cuff pressure. From these line fit profiles, external cuff pressure affected line fit features are determined, from which hemodynamic variables for the peripheral arterial region such as blood pressure and/or a systemic vascular resistance are then determined.

Abstract: Provided are a point cloud encoding method and decoding method, and an encoder and a decoder. The encoding method comprises: processing attribute information of a target point in a point cloud, so as to obtain a predicted residual of the attribute information of the target point; quantizing the predicted residual on the basis of a quantized weight of the target point and a quantized stride of the target point, so as to obtain a quantized residual of the attribute information of the target point, wherein the quantized weight of the target point is the weight used when weighting the quantized stride of the target point; and encoding the quantized residual, so as to obtain a code stream.

Abstract: The invention provides a low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning, and the method comprises the steps: receiving an uplink signal transmitted by a terminal node through a gateway receiver, demodulating the uplink signal through employing a soft demodulation algorithm, and obtaining a bit log-likelihood ratio; the deep reinforcement learning model completes channel reconstruction of the corresponding link during communication according to the bit log-likelihood ratio; and calculating the current optimal network configuration according to the reconstructed channel so as to distribute the current optimal network configuration to each terminal node during next downlink transmission.

Abstract: A method for detecting and tracking target object in a captured video using convolutional neural network (CNN) is provided. The method includes: inputting image data into a detecting model to generate detection results, wherein the detecting model is constructed by the CNN; inputting the image data into tracking models to generate tracking results; performing detection score enhancement operation according to the detection results and the tracking results to obtain enhanced detection results; matching the enhanced detection results and the tracking results by a matching operation; processing matched results and unmatched target detection results and unmatched target tracking results; and selectively updating the tracking models using tracking reliability estimation according to the matched results.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a medical device servicing method (100) for a medical device (12), including: deriving a representation (36) of abase diagnostic procedure for diagnosing a malfunction of the medical device from one or more service manuals (32); analyzing historical service records (34) to extract diagnostic procedures applied in historical service cases for diagnosing the malfunction of the medical device; adding the extracted diagnostic procedures to the representation of the base diagnostic procedure to generate an updated representation (40) of the base diagnostic procedure; calculating likelihood of success scores (42) for each path of the updated representation of the base diagnostic procedure based on statistics of outcomes of the historical service cases; and outputting the updated representation of the base diagnostic procedure on an electronic processing device (18) operable by a service

Abstract: In an embodiment, a method includes programming a control signal that specifies a target resistance and a target voltage in a circuit. The method further includes sending the control signal to at least one transistor configured to control a current flow in the circuit. The method further includes providing, as an output, a signal with the target voltage and target resistance.

Abstract: A control device includes a first housing, a first control module, a first conductive path, a second conductive path, a first switch, and a first control member. The first housing includes a first recess. The first control module is close to a first wall. The first control module performs a corresponding control based on a status of an electrically connected battery. The first conductive path is contiguous to the first wall. The second conductive path is contiguous to the first wall. The first switch is contiguous to and electrically connected to the first conductive path and the second conductive path. When viewed along a first direction, the first switch and the first control module are spaced apart from each other. The first control member is outside the first housing. The first control member is connected to the first switch and controls closing and opening of the first switch.

Abstract: The present invention provides a recombinant viral vector, an immunogenic composition containing the same, and the use thereof. The recombinant viral vector comprises a polynucleotide encoding a fusion peptide of CD4 helper T cell epitopes, the epitope fusion peptide comprising a cytomegalovirus epitope and/or an influenza virus epitope. The epitope fusion peptide and the recombinant viral vector provided by the present invention can improve the level of cellular immune response to a target immunogen, particularly to a weak immunogen, and overcome the immune tolerance of immune system to an antigen, particularly to a tumor antigen or an infection-related antigen. The products of the present invention are suitable for enhancing the efficacy of vaccines.

Abstract: Embodiments of this application provide a fever alarm method based on body temperature monitoring and a related device, applied to a wearable device. The method may include: collecting a body temperature of a user in a first time period, where the first time period is time for which the wearable device is attached to skin of the user; determining a temperature monitoring mode that the user is in; and generating a fever alarm when detecting that the body temperature of the user in the first time period meets a fever condition corresponding to the body temperature monitoring mode, where different body temperature monitoring modes correspond to different fever conditions.

Abstract: According to an aspect, there is provided a computer-implemented method (200) for generating a treatment instruction, the method (200) comprising: receiving (202) first image data relating to the skin of a subject; obtaining (204), based on the first image data, an indication of a location of one or more features of the subject; generating (206), based on the first image data, an initial map of the skin of the subject including the location of the identified features; receiving (208) second image data relating to the skin of the subject during a current treatment session; determining (210), based on the second image data, a treatment parameter relating to a treatment performed in respect of the skin of the subject; generating (212), based on the initial map and the treatment parameter, an updated map of the skin of the subject; and generating (214), based on the updated map, a treatment instruction for delivery to a recipient device.

Abstract: The present application provides a system including a plurality of components to be mounted to a first device in a preset layout and generate a magnetic field; a magnetometer integrated with a second device to detect the magnetic field to generate reading data associated with the magnetic field at the second device; and a processor configured to determine a position of the second device relative to the first device based on the reading data and the preset layout of the plurality of components.

Abstract: A laminated structure assembly includes, between an upper transparent substrate and a lower transparent substrate, different combinations of a photovoltaic layer, a light-adjusting layer and a light-emitting layer that are stacked in sequence from top to bottom, and bonding layers are provided to bond adjacent layers. There is also provided a window assembly that includes the laminated structure assembly and a controller electrically connected to the laminated structure assembly. There is also provided a method for adjusting a window assembly, a computer device for control and a computer-readable medium. The laminated structure assembly provides a combination of a plurality of functions, thereby meets requirements of users.

Abstract: The present application discloses a cloud-network integration (CNI) oriented multi-access edge computing (MEC) architecture. An access network (AN) side of the architecture is provided with a plurality of edge computing nodes, a physical channel of the AN side is split into a plurality of subchannels with each of the subchannels supporting a media access control (MAC) access mode, and a software defined network (SDN) controller is arranged in the architecture and is configured to allocate resources of the subchannels at a physical layer and protocols at an MAC layer and control offloading at the edge computing nodes or a cloud center by a terminal user. The present application can carry out fine-grained control and cooperative management on network resources and computing resources, and achieve more effective computation offloading and service enhancement.

Abstract: An array substrate is provided. The array substrate includes a plurality of subpixels. A respective subpixel of the plurality of subpixels includes a first transistor. The first transistor includes a gate electrode; a first electrode on the gate electrode; a semiconductor material layer on a side of the first electrode away from the gate electrode; a second electrode on a side of the semiconductor material layer away from the first electrode; an organic layer on a side of the second electrode away from the semiconductor material layer; and a third electrode on a side of the organic layer away from the second electrode. An orthographic projection of the second electrode on a base substrate at least partially overlaps with an orthographic projection of the organic layer on the base substrate.

Abstract: The present invention provides engineered BRD4 polypeptides comprising deletions of one or more of bromodomain 1 (BD1), bromodomain 2 (BD2), and extra terminal domain (ET). Also provided are polynucleotides encoding the engineered BRD4 polypeptides, and constructs and vectors comprising the polynucleotides. Also provided are methods for using the engineered BRD4 polypeptides to assess the effects of candidate BRD4 C-terminal specific inhibitors on Pol II pausing.

Abstract: According to an aspect, there is provided a system (100) comprising a hair cutting device (102) having a cutting element for cutting a subject's hair; a localisation unit (104) for acquiring location data indicative of a location of the cutting element relative to a body part of the subject; a timer unit (106) for measuring time data associated with usage of the hair cutting device; and a processing unit (108) in communication with the hair cutting device, the localisation unit and the timer unit, the processing unit being configured to determine, based on the location data and the time data, an operating parameter to be applied to the hair cutting device.

Abstract: A braking method includes: obtaining a first state information of the vehicle, which includes a vehicle mass and a deceleration required by braking; calculating a braking torque according to the first state information, and controlling the vehicle to output an electric braking torque according to the braking torque; obtaining a current vehicle speed and a mechanical braking application delay time; calculating an electric braking exit speed according to the braking torque required by the vehicle and the deceleration required by braking; calculating a mechanical braking application speed according to the mechanical braking application delay time, the deceleration required by braking, and the electric braking exit speed; and determining whether to control the vehicle to unload the electric braking torque, and whether to control the vehicle to apply a mechanical braking torque according to the current vehicle speed, the electric braking exit speed, and the mechanical braking application speed.