Abstract: An air conditioner assembly for installation at a window assembly is provided. The air conditioner assembly includes an air conditioning unit fixable to the window assembly. The air conditioning unit includes a housing having a sidewall. The housing includes a conditioned air exhaust opening, a room air intake opening, and a control panel. A curtain assembly includes a curtain frame having a first member extending along a first axis and a second member extending along a second axis. The curtain frame houses a panel moveable along the second axis between the sidewall of the air conditioning unit and the second member of the curtain frame. The panel includes a magnet coupled to the panel proximate to the sidewall of the air conditioning unit.

Abstract: Various embodiments of the teachings herein include a method for knowledge recommendation. The method may include: obtaining current searching information of a user for certain knowledge in factory production, job characteristic information of the user, and historical feedback information of the user for at least one knowledge item and/or knowledge resource in the past; using a first prediction algorithm model for learning based on historical searching information, job feature information, and historical feedback information of the user and other users to analyze obtained information, to obtain first prediction information including a first number of knowledge items; using a second prediction algorithm model to perform fusion sorting on the first prediction information and thereby obtain second prediction information including a second number of knowledge items; providing the second number of knowledge items to a knowledge recommendation model; and recommending a knowledge resource output from the model.

Abstract: Examples of recommendation methods and apparatus are described. In one example method, a plurality of images are obtained, where each image includes one candidate interface and one type of candidate content presented by using the candidate interface. Image feature data of each image is obtained, and input for a prediction model is determined based on user feature data of a target user and the image feature data. Then, a degree of preference of the target user for each image is predicted by using the prediction model. At least one of a candidate interface or candidate content that are included in the plurality of images is selected based on the degree of preference. Recommendation is then performed to the user based on the selected candidate content or candidate interface.

Abstract: The disclosure provides a method and apparatus for early warning of dry pump shutdown, an electronic device, a storage medium and a program, and belongs to the technical field of automatic control. The method comprises: obtaining historical operating data of a dry pump; building a Kalman filter model by using the historical operating data; predicting predicted operating data of the dry pump through the Kalman filter model; training a shutdown prediction model by using the historical operating data and the predicted operating data; and inputting current operating data of the dry pump into the trained shutdown prediction model to obtain shutdown early warning information of the dry pump.

Abstract: The present disclosure relates to an interactive content generation method and apparatus, and a storage medium and an electronic device. The method includes: displaying a content editing interface, wherein the content editing interface includes a canvas area, a material area and an interaction event area; displaying a target interactive scene image corresponding to a scene adding operation in the canvas area in response to the scene adding operation performed by a user in the content editing interface; adding, in response to a selection operation for a target material in the material area performed by the user, the target material to the target interactive scene image, and adding, in response to an interaction event configuration operation for the target material performed by the user in the interaction event area, an interaction event to the target material to obtain target interactive content.

Abstract: A method for visual reasoning. The method includes: providing a network with sets of inputs and sets of outputs, wherein each set of inputs of the sets of inputs mapping to one of a set of outputs corresponding to the set of inputs based on visual information on the set of inputs, and wherein the network comprising a Probabilistic Generative Model (PGM) and a set of modules; determining a posterior distribution over combinations of one or more modules of the set of modules through the PGM, based on the provided sets of inputs and sets of outputs; and applying domain knowledge as one or more posterior regularization constraints on the determined posterior distribution.

Abstract: A display substrate includes a plurality of sub-pixels, wherein at least one sub-pixel includes a driving circuit layer and a light emitting structure layer disposed on the driving circuit layer; the driving circuit layer includes a pixel driving circuit, and the light emitting structure layer includes a light emitting device connected with the pixel driving circuit; the pixel driving circuit includes a reset sub-circuit, a writing sub-circuit, a driving sub-circuit, a compensation sub-circuit, an energy storage sub-circuit and a light emitting control sub-circuit; and at least one of the reset sub-circuit, the compensation sub-circuit, and the writing sub-circuit includes an oxide transistor and a one-way conductive device.

Abstract: This application provides an image processing method and an electronic device. The method includes: detecting a first operation on a first control of a first screen; obtaining a first image and a second image in response to the first operation; performing first image processing on the first image to obtain a third image; performing second image processing on the second image to obtain a fourth image; and performing fusion processing on the third image and the fourth image based on at least two masks to obtain a fused image, where the at least two masks include at least two of a first mask, a second mask, or a third mask. Based on the solutions of this application, the problem of partial image detail information being lost in an image obtained by a main-camera module can be avoided, and image quality can be improved.

Abstract: This application provides a control resource configuration method, which includes: pre-configuring, by a network device, a plurality of control resource sets on a plurality of sub-bands, where the plurality of control resource sets have different priorities; separately performing, by the network device, channel sensing on the plurality of sub-bands, to determine one or more available sub-bands in the plurality of sub-bands; determining, by the network device, one or more to-be-scheduled control resource sets from the plurality of control resource sets based on a priority of each of the plurality of control resource sets; and sending the one or more to-be-scheduled control resource sets on the one or more available sub-bands and within corresponding channel occupancy time, where the control resource set carries downlink control information for a terminal device. A success rate of sending the CORESET is improved without increasing resources required by the CORESET.

Abstract: A dynamic position recognition and prompt method and system. The system comprises: a recognition module (1), a judgment module (2) and a prompt module (3); wherein the recognition module (1) is used to obtain a current scene image via an image obtaining device and recognize a current position of a specific object in the current scene image; the judgment module (2) is used to judge whether the current position of the specific object is within a preset recognition range; the prompt module (3) is used to performing navigation for the specific object if the current position of the specific object is not within the preset recognition range of the image obtaining device, to help a user in finding the specific object to be in the predetermined recognition range, so that the image and the navigation are more accurate and precise.

Abstract: The present invention provides a method and device for calibrating a position of a mover in a direct drive transmission system. In response to receiving an arriving signal for a mover corresponding to a preset detection station, an image acquisition device disposed above the detection station is controlled to acquire an image of the mover; feature recognition is performed on the image of the mover, and an actual coordinate position of a preset feature image area is acquired in the image of the mover; a mover-arriving detection result is generated based on the actual coordinate position; and a calibration signal for the position of the mover is generated based on the mover-arriving detection result.

Abstract: Provided is a one-component aqueous spray adhesive. The spray adhesive includes an aqueous chloroprene dispersion, where the increase of the Shore A hardness of the formed adhesive film in 0 to 10 hours accounts for equal to or more than 90% of the increase of the Shore A hardness of the formed adhesive film in 0 to 1000 hours; a styrene-acrylate copolymer dispersion having a solid content of 15% by weight to 25% by weight, relative to the total weight of solids of the aqueous chloroprene dispersion; a polyol ester without hydroxyl groups in an amount of 0.9% by weight to 3.8% by weight, relative to the total weight of the aqueous spray adhesive; and an amino acid in an amount of 4% by weight to 15% by weight, relative to the total weight of the aqueous chloroprene dispersion.

Abstract: Unsupervised cross-domain data augmentation techniques for long-text document based prediction and explanation are provided. In one aspect, a system for long-document based prediction includes: an encoder for creating embeddings of long-document texts with hierarchical sparse self-attention, and making predictions using the embeddings of the long-document texts; and a multi-source counterfactual augmentation module for generating perturbed long-document texts using unlabeled sentences from at least one external source to train the encoder. A method for long-document based prediction is also provided.

Abstract: The present disclosure provides a method in an application server for Quality of Service, QoS, control. The method includes: determining to adjust a QoS associated with a service for one or more terminal devices; and transmitting, to a control function entity, a request for adjusting the QoS for the one or more terminal devices.

Abstract: In some implementations, a device may receive information indicating a set of parameters for a partition of a decentralized autonomous organization (DAO) implemented by a distributed database. The set of parameters may include a first parameter indicating a condition for completion of the partition and a second parameter indicating a digital asset wallet of a recipient that is to receive digital assets associated with the partition upon completion of the partition. The device may cause a smart contract, associated with the partition, to be added to the distributed database. The smart contract may include executable code that codifies the set of parameters. The smart contract may be configured to cause, responsive to satisfaction of the condition for completion of the partition, a record to be added to an additional distributed database indicating an association between a digital asset wallet of the partition and the digital asset wallet of the recipient.

Abstract: An image feature extraction method and apparatus are provided, along with a computer device and a readable storage medium. After obtaining the target convolutional kernel of the feature extraction convolutional neural network, this application will cut the input feature map obtained from the preprocessed image according to the preset image size into multiple abutting input feature submaps. Each input feature submap will be zero-padded to obtain the preprocessed feature submap. Then, for each preprocessed feature submap, the Karatsuba algorithm will be used to reduce the multiplier resource consumption during the convolution operation between the target convolutional kernel and the preprocessed feature submap, effectively suppressing the growth of adder resource consumption during the convolution operation, resulting in the output feature submap. Subsequently, multiple output feature submaps will be overlapped and the boundary of the overlapped feature map will be cropped to obtain the output feature map.

Abstract: A method and system for predicting heat exchanger performance, an electronic device and a storage medium are provided. The method comprises: acquiring a flow unit of the heat exchanger and constructing a physical model of the flow unit according to structural parameters of the heat exchanger; constructing a coupled model of an interphase transfer mechanism for oil-gas-water three-phase flow using computational fluid dynamics according to the physical model; constructing a fully coupled population balance model for flow and heat transfer of oil-gas-water three-phase flow; solving the fully coupled population balance model to obtain a model calculation result and determining a Nusselt number and a Fanning friction factor; and determining a comprehensive heat transfer factor, wherein the comprehensive heat transfer factor is used to evaluate heat transfer performance of the heat exchanger.

Abstract: A display substrate, a pixel circuit, a driving method and a display device are provided. The display substrate includes a substrate and a plurality of repeating units arranged in an array on one side of the substrate, each repeating unit includes at least two light emitting elements and at least two pixel circuits, each pixel circuit includes a first transistor, a second transistor and a third transistor, and the third transistor is configured to drive the light emitting element to emit light; each repeating unit further includes a first region, a second region and a third region arranged continuously in the first direction, the first region includes at least two of the first transistors, the third region including at least two of the third transistors, and the type of the first transistor and the type of the third transistor are different.

Abstract: Micro-LED structures include an LED epilayer that may be formed before the micro-LED structure is coupled to a backplane substrate. In order to prevent light leakage and maximize light output, the sidewalls and other surfaces of the LED epilayer may be coated with a reflective coating. For example, the reflective coating may include a metal layer that is electrically insulated between dielectric layers from the micro-LED electrodes. The reflective coating may also be formed using multiple layers in a distributed Bragg reflector configuration. This reflective coating may be formed during the LED fabrication process before the micro-LED structure is coupled to the backplane. The pixel isolation structures on the backplane may also include a reflective coating that is applied above the LED epilayers.

Abstract: A ? ray detector structure based on a p-i-n junction of perovskite and a calibration method are provided. An ultrathick intrinsic perovskite crystal grows by utilizing temperature inversion solution crystallization as a ? ray photon absorber, a p-type perovskite epitaxial layer grows on one side of the intrinsic perovskite crystal by adopting an epitaxial doping growing method, a n-type perovskite epitaxial layer grows on the other side, a dark state current and noise are inhibited by utilizing the p-i-n junction of perovskite, and a large-sized perovskite crystal is used to absorb and convert more ? photons. Detected signals at a cathode terminal and an anode terminal are measured simultaneously. The longitudinal interaction depths of the ? photons are calibrated according to the ratio of the two signals, and then detection events at the same depth are classified and counted respectively.