Abstract: This application provides a physiological detection signal quality evaluation method, an electronic device, and a storage medium. The method includes: obtaining a data sample set collected by a detection device in different scenarios; selecting sample data of a scenario from the sample data set, and dividing the sample data into physiological data and PPG data; calculating an energy ratio of the physiological data based on the physiological data and the PPG data; separately calculating quality evaluation parameters of sample data of a plurality of scenarios based on energy ratios of the physiological data corresponding to different scenarios; and evaluating, based on the quality evaluation parameters, quality of a physiological detection signal collected by the detection device.

Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: Provided is a biometric information imaging module, used for imaging palm veins, and method of using same. The imaging module includes a housing with a cover attached to a top of the housing; a lens assembly with a lens for taking images provided in the housing; a light shielding structure provided around at least part of the lens of the lens assembly for shielding the lens from light reflected from the cover; and an image sensor to convert light focused by the lens assembly to photoelectric conversion to an electrical signal. The lens assembly is attached to a first circuit board and the light shielding structure is connected to a second circuit board in the housing.

Abstract: This application provides a deep learning-based heart rate detection method and a wearable device, and relates to the field of communications technologies. According to this solution, a deep Attention network is trained by using PPG and ACC sensor signals as inputs and using heart rate information and exercise scenario information as model outputs, and heart rate detection is performed by using a model obtained through training. Because motion artifact noise is distributed differently in different scenarios, a nonlinear relationship between a scenario, noise, and a heart rate may be fitted by using a deep Attention network learning mechanism, so that data denoising processing and feature extraction can be adaptively implemented in different scenarios, to achieve effects of signal denoising, signal fusion, and complex scenario identification in a plurality of complex scenarios, thereby canceling interference of motion artifact noise to a PPG signal, and improving precision of heart rate detection.

Abstract: An anti-MASP-2 antibody and use thereof. The anti-MASP-2 antibody specifically binds to a human MASP-2 protein at a KD value of about 2E-09M or less, and the anti-MASP-2 antibody specifically binds to a cynomolgus monkey MASP-2 protein at a KD value of about 2E-09M or less. Disclosed are an immunoconjugate containing the anti-MASP-2 antibody, a method for preparing the anti-MASP-2 antibody, and use of the anti-MASP-2 antibody.

Abstract: Embodiments of this application provide a method for displaying a two-dimensional code and an electronic device. The method is performed by an electronic device, and includes: obtaining first sensor data, where the first sensor data is collected at a first moment; if it is determined, based on the first sensor data, that a first action of a user corresponding to the first moment is a preset action, determining whether the user performs a wrist turning action within a preset duration range starting from the first moment; and displaying a preset two-dimensional code page when the user performs a wrist turning action within the preset duration range. In the method, a process of presenting a two-dimensional code by the user can be simple and efficient.

Abstract: This application provides a method for determining a foldable screen included angle and associated devices of the method, and relates to the field of terminal technologies.

Abstract: Provided is an GARP protein antibody, and a cell comprising or expressing the GA RP protein antibody. The GARP protein antibody binds to human GARP/human TGF-?1 complex with a KD value of about 1.0E-12 or less. Also provided are a pharmaceutical combination comprising the GARP protein antibody and an immune checkpoint inhibitor and use thereof.

Abstract: Various embodiments may relate to a liquid cooling module. The liquid cooling module may include a main body. The main body may include a cooling core including a microfluidic structure configured to carry a cooling liquid. The main body may also include a plurality of slots. The liquid cooling module may further include a sealing pad configured to transmit heat from an electronic device to the cooling core. The liquid cooling module may additionally include a plurality of fins extending from the main body, each of the plurality of fins including an internal circulating liquid duct such that the liquid cooling module includes a plurality of internal circulating liquid ducts in fluidic communication with the microfluidic structure.

Abstract: The present teaching relates to method, system, medium, and implementations for detecting liveness. When an image is received with visual information claimed to represent a palm of a person, a region of interests (ROI) in the image that corresponds to the palm is identified. Each of a plurality of fake palm detectors individually generates an individual decision on whether the ROI corresponds to a specific type of fake palm that the fake palm detector is to detect. Such individual decisions from the plurality of fake palm detectors are combined to derive a liveness detection decision with respect to the ROI.

Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: The present teaching relates to method, system, medium, and implementations for biometric-based authentication. When an input image representing biometric information of a person to be authenticated is received, a feature vector of the input image is generated based on the biometric information captured in the input image via a convolution neural network (CNN) that is realized using one or more linear activation functions. The person is authenticated based on the feature vector in accordance with a biometric-based recognition model.

Abstract: A lipid delivery system, a virus-like structure (VLS) vaccine constructed therefrom, and a lipid particle capable of encapsulating an mRNA molecule encoding a SARS-CoV-2-specific antigen are provided. After the lipid particle encapsulates an mRNA molecule encoding a SARS-CoV-2 antigen, a SARS-CoV-2 S1 antigen protein can be embedded on a surface of an envelope structure of the lipid under specific buffer conditions to produce a VLS vaccine with an antigen-encoding mRNA molecule encapsulated inside and an outer membrane presenting a required viral antigen protein. The vaccine has a superior specific antibody-inducing ability to a SARS-CoV-2 mRNA vaccine and a polypeptide vaccine, can maintain a long-lasting high antibody level, and can also exhibit excellent immune binding abilities for the emerging different variants.

Abstract: A rope jumping status detection method is provided, including: collecting first target exercise data in a first target time period by using one or more motion sensors, where the first target time period includes a first end moment, and the first end moment is used to identify an end moment of the first target time period; determining a rope jumping status in the first target time period based on the first target exercise data by using an iterative window width; determining a first quantity of rope jumping interruptions based on the rope jumping status in the first target time period, where the first quantity of rope jumping interruptions is used to identify a quantity of rope jumping interruptions in the first target time period; and displaying the first quantity of rope jumping interruptions at the first end moment.

Abstract: A fingerprint recognition method and an electronic device. The electronic device includes a touch screen and a fingerprint sensor. The electronic device displays a first interface and captures first fingerprint information that is input by a user at the first interface. The electronic device determines whether the touch screen is in a first state, and the first state is used to indicate that the touch screen is in a screen protector state. If the touch screen is in the first state, the electronic device restores the first fingerprint information by using a first preset artificial intelligence (AI) restoration model to obtain second fingerprint information. The electronic device determines that the second fingerprint information matches preset fingerprint information and displays a second interface. Quality of a fingerprint image in the second fingerprint information is higher than quality of a fingerprint image in the first fingerprint information.

Abstract: The present teaching relates to method, system, medium, and implementations for biometric authentication. Rotation covariant convolution kernels at multiple convolution layers are obtained with weights learned via machine learning based on rotation invariant (RI) training data. For an input image with fingerprint information captured therein related to a person to be authenticated, an initial feature map is obtained and then at each convolution layer, a feature map is processed based on the RC convolution kernels for the layer to output a rotation covariant (RC) feature map, with the feature map being either the initial feature map and an output RC feature map from a previous convolution layer. The last convolution layer outputs a rotation invariant (RI) feature vector representing fingerprint features of the person in a rotation invariant manner, which is then used to authenticate the person.

Abstract: Abstract: Various embodiments may relate to a power module package. The power module package may include a power module including a first lead frame, a second lead frame, and at least one chip at least partially between the first lead frame and the second lead frame. The power module package may also include a first heat spreader attached to the first lead frame. The power module package may further include a second heat spreader also attached to the first lead frame such that the first lead frame, the first heat spreader and the second heat spreader form an enclosure defining a cavity containing the at least one chip. The enclosure may include an inlet configured to allow a cooling medium to flow into the cavity and an outlet configured to allow the cooling medium to flow out of the cavity.

Abstract: The present teaching relates to detecting palm liveness. When an image is received with visual information claimed to represent a palm of a person, an initial region of interests (ROI) is identified from the image that corresponds to the palm and an initial dimension thereof is determined. When the initial dimension is smaller than a specified dimension, the initial ROI is extended in some respective directions to some expansion region with certain expansion dimension to generate an ROI using the visual information in the ROI from the image. A plurality of decisions are obtained with respect to the ROI, each of which is made individually on whether the ROI represents a specific type of fake palm. The decisions are then combined to derive a liveness detection decision on whether the palm captured in the image is live.

Abstract: The present teaching relates to detecting palm liveness. When an image is received with visual information claimed to represent a palm of a person, an initial region of interests (ROI) is identified from the image that corresponds to the palm and an initial dimension thereof is determined. When the initial dimension is smaller than a specified dimension, the initial ROI is extended in some respective directions to some expansion region with certain expansion dimension to generate an ROI using the visual information in the ROI from the image. A plurality of decisions are obtained with respect to the ROI, each of which is made individually on whether the ROI represents a specific type of fake palm. The decisions are then combined to derive a liveness detection decision on whether the palm captured in the image is live.

Abstract: The present teaching relates to method, system, medium, and implementations for detecting liveness. When an image is received with visual information claimed to represent a palm of a person, a region of interests (ROI) in the image that corresponds to the palm is identified. Each of a plurality of fake palm detectors individually generates an individual decision on whether the ROI corresponds to a specific type of fake palm that the fake palm detector is to detect. Such individual decisions from the plurality of fake palm detectors are combined to derive a liveness detection decision with respect to the ROI.