Abstract: Provided are a display substrate and a display apparatus. The display substrate includes a base substrate, and an auxiliary cathode structure located on a side of the base substrate, the auxiliary cathode structure including a first conductive layer, an intermediate support layer, and a second conductive layer. In an implementation, a side of the intermediate support layer close to the first conductive layer includes any one or more of first protrusions and first grooves, and a side of the first conductive layer close to the intermediate support layer includes any one or more of second grooves engaged with the first protrusions and second protrusions engaged with the first grooves which are correspondingly disposed.

Abstract: A display substrate includes a driving circuit layer arranged on a base and a light emitting structure layer arranged on one side, away from the base, of the driving circuit layer; the light emitting structure layer includes an anode, a pixel definition layer, an organic light emitting layer, a cathode, and an auxiliary electrode; the pixel definition layer has a first pixel opening exposing the anode and a second pixel opening exposing the auxiliary electrode; the organic light emitting layer connected to the anode and the cathode connected to the organic light emitting layer are arranged in the first pixel opening; the organic light emitting layer separated from the auxiliary electrode and the cathode located on one side, away from the base, of the organic light emitting layer are arranged in the second pixel opening; and the cathode is connected to the auxiliary electrode in the second pixel opening.

Abstract: A MEMS device comprises a first membrane structure having a reinforcement region formed from one piece of the first membrane structure, wherein the reinforcement region has a larger layer thickness than an adjoining region of the first membrane structure. The MEMS device includes an electrode structure, wherein the electrode structure is vertically spaced apart from the first membrane structure.

Abstract: A method for detecting blurriness of a human face in an image includes: performing a face detection in a target image; when a human face is detected in the target image, cropping the human face from the target image to obtain a face image and inputting the face image to a first neural network model to perform preliminary detection on a blurriness of the human face in the face image to obtain a preliminary detection result; and when the preliminary detection result meets a deep detection condition, inputting the face image to a second neural network model to perform deep detection on the blurriness of the human face in the face image to obtain a deep detection result.

Abstract: The present disclosure provides an action imitation method as well as a robot and a computer readable storage medium using the same. The method includes: collecting a plurality of action images of a to-be-imitated object; processing the action images through a pre-trained convolutional neural network to obtain a position coordinate set of position coordinates of a plurality of key points of each of the action images; calculating a rotational angle of each of the linkages of the to-be-imitated object based on the position coordinate sets of the action images; and controlling a robot to move according to the rotational angle of each of the linkages of the to-be-imitated object. In the above-mentioned manner, the rotational angle of each linkage of the to-be-imitated object can be obtained by just analyzing and processing the images collected by an ordinary camera without the help of high-precision depth camera.

Abstract: Disclosed are a display panel, a manufacturing method therefor, and a display apparatus. The display panel comprises: a base substrate (10); a padding layer (20) arranged at one side of the base substrate (10); a thin film transistor structure layer (30) arranged at one side of the base substrate (10); a planar layer (40) arranged at the side of the thin film transistor structure layer (30) away from the base substrate (10); an organic electroluminescent device (50) arranged at the side of the planar layer (40) away from the base substrate (10), the organic electroluminescent device (50) comprising an anode (51), an effective light emission layer (52), and a cathode (53) in a layered arrangement; an auxiliary electrode (60) arranged on the side of the thin film transistor structure layer (30) away from the base substrate (10).

Abstract: A computer-implemented method for predicting binding and presentation of peptides by MHC molecules includes collecting training data, wherein the training data includes a set of MHC molecules in a sample as well as a set of observed peptide sequences that are presented by the MHC molecules, wherein it is unknown to which specific MHC molecules a peptide sequence is bound, and wherein the training data is organized in bags with each bag having a set of training instances. Labels are known for the bags, but unknown for the training instances. The method also uses a loss function to train a classifier at an instance-level, and predicts the label of new instances by applying the classifier directly and/or predicts the label of new bags by applying the MIL classifier to each instance of a respective bag and aggregates the results among all instances of the respective bag.

Abstract: The present disclosure provides a display substrate, a manufacturing method thereof and a display device. The present disclosure includes a driving circuit layer disposed on a substrate and a light emitting structure layer disposed at one side of the driving circuit layer away from the substrate, wherein the light emitting structure layer includes an anode, an organic light emitting layer, an organic light emitting block, a cathode and an auxiliary electrode, the organic light emitting layer is connected to the anode and the cathode respectively, the auxiliary electrode includes a bottom surface at one side close to the substrate, a top surface at a side away from the substrate and a side surface arranged between the bottom surface and the top surface.

Abstract: The present application discloses a dead-zone-free cold atom interferometer with a high frequency output. The interferometer includes: a three-dimensional magneto-optical trap, wherein a predetermined angle is formed between the first group of light sources and an atomic beam path, the first group of optical stops are arranged at edges of the first group of light sources and downstream of the atomic beam path, the first group of optical stops block laser light emitted from the first group of light sources, the second group of light sources are orthogonally arranged with respect to the first group of light sources, the second group of optical stops are arranged at edges of the second group of light sources and downstream of the atomic beam path, and the second group of optical stops block laser light emitted from the second group of light sources.

Abstract: The disclosure discloses an array substrate and a preparation method thereof, a display panel and a display device. The array substrate includes: a substrate, and a first metal layer, a metal oxide layer and a second metal layer which are sequentially stacked and isolated from each other on the substrate; the first metal layer includes a light shading metal, a first electrode, and an anti-static line; the metal oxide layer includes a first active layer; the second metal layer includes a gate line and a second electrode; the gate line is connected with the anti-static line through a first TFT, one of the first electrode and the second electrode forms the source and drain electrodes of the first TFT, and the other forms the gate electrode of the first TFT; and the source is electrically connected with the gate line, and the drain is electrically connected with the anti-static line.

Abstract: A phosphinated (2,6-dimethylphenyl ether) oligomer, preparation method thereof and cured product. The phosphinated (2,6-dimethylphenyl ether) oligomer includes a structure represented by Formula (1): wherein X is a single bond, —CH2—, —O—, —C(CH3)2— or R?0, R0, R1, R2 and R3 are independently hydrogen, C1-C6 alkyl or phenyl; n and m are independently an integer from 0 to 300; p and q are independently an integer from 1 to 4; Y is hydrogen, U and V are independently an aliphatic structure.

Abstract: A target object detection model is provided. The target object detection model includes a YOLOv3-Tiny model. Through the target object detection model, low-level information in the YOLOv3-Tiny sub-model can be merged with high-level information therein, so as to fuse the low-level information and the high-level information. Since the low-level information can be further used, the comprehensiveness of target detection is effectively improved, and the detection effect of small targets is improved.

Abstract: A mask wearing status alarming method, a mobile device, and a computer readable storage medium are provided. The method includes: performing a face detection on an image to determine face areas each including a target determined as a face; determining a mask wearing status of the target in each face area; confirming the mask wearing status of the target in each face area using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as a not-masked-well status or a unmasked status; and releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.

Abstract: A backlight face recognition method, a terminal device using the same, and a computer readable storage medium are provided. The method includes: performing a face detection on each original face image in an original face image sample set to obtain a face frame corresponding to the original face image; capturing the corresponding original face images from the original face image sample set, and obtaining a new face image containing background pixels corresponding to the captured original face images from the original face image sample set; preprocessing all the obtained new face images to obtain a backlight sample set and a normal lighting sample set; and training a convolutional neural network using the backlight sample set and the normal lighting sample set until the convolutional neural network reaches a preset stopping condition. The trained convolutional neural network will improve the accuracy of face recognition in complex background and strong light.

Abstract: A method for manufacturing a target material is provided and includes installing a substrate, providing a raw material powder to the substrate, melting the raw material powder on the substrate by a laser, and repeating the step of providing the raw material powder to the substrate to melting the raw material powder on the substrate by the laser to form a target material and rapidly cooling the formed target material. As such, the target material is produced by the method of lamination manufacturing via the rapid cooling property, so as to avoid the problems of high cost, long man-hours and poor quality of the target material in the conventional techniques.

Abstract: This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result RX-1 of a previous frame of image of a current frame of image is the same as a target object recognition result RX-2 of a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range CX of a target object in the current frame of image when the two recognition results RX-1 and RX-2 are different; or determining a position range CX of a target object in the current frame of image according to a position range CX-1 of the target object in the previous frame of image when the two recognition results RX-1 and RX-2 are the same; and performing target object recognition in the current frame of image according to the position range CX by using a second-stage neural network.

Abstract: The present disclosure provides a display substrate, a method for manufacturing the display substrate, and a display device. The display substrate includes a first conductive line extending in a first direction on a base substrate, a second conductive line extending in a second direction crossing the first direction on the base substrate, and an insulation layer arranged between the first conductive line and the second conductive line. The display substrate further includes a buffer layer arranged between the first conductive line and the base substrate, a groove extending in the first direction is formed in the buffer layer, the first conductive line is arranged in the groove, and a surface of the first conductive line away from the base substrate is flush with a surface of the buffer layer away from the base substrate.

Abstract: The present disclosure provides a display substrate, a method for manufacturing the same, and a display device. The display substrate includes a drive circuit layer disposed on a base substrate and a light emitting structure layer disposed on a side of the drive circuit layer away from the base substrate. The light emitting structure layer includes an anode, an organic light emitting layer, a cathode, and an auxiliary electrode. The organic light emitting layer is respectively connected to the anode and the cathode, and the cathode is connected to the auxiliary electrode; in a plane parallel to the display substrate, an edge of the auxiliary electrode is provided with a structure depressed towards a center of the auxiliary electrode.

Abstract: A robot climbing control method is disclosed. A gravity direction vector in a gravity direction in a camera coordinate system of a robot is obtained. A stair edge of stairs in a scene image is obtained and an edge direction vector of the stair edge in the camera coordinate system is determined. A position parameter of the robot relative to the stairs is determined according to the gravity direction vector and the edge direction vector. Poses of the robot are adjusted according to the position parameter to control the robot to climb the stairs.

Abstract: A dynamic gesture recognition method includes: performing detection on each frame of image of a video stream using a preset static gesture detection model to obtain a static gesture in each frame of image of the video stream; in response to detection of a change of the static gesture from a preset first gesture to a second gesture, suspending the static gesture detection model and activating a preset dynamic gesture detection model; and performing detection on multiple frames of images that are pre-stored in a storage medium using the dynamic gesture detection model to obtain a dynamic gesture recognition result.