Abstract: A six-roller spreading mechanism and a laminator having the same. The laminator comprises a new six-roller spreading mechanism, which comprises a metering roller, a transfer steel roller, a transfer rubber roller, a spreading steel roller, a spreading rubber roller and a spreading pressure roller, wherein the spreading rubber roller is movably connected to a base by means of a linear motion mechanism so as to enable the spreading rubber roller to linearly move on the base. The new six-roller spreading mechanism is used by the laminator. The active linear motion mechanism is connected to the spreading rubber roller to enable the spreading rubber roller to move linearly, such that control over an acting force between the spreading rubber roller and the spreading pressure roller and the spreading steel roller is achieved, thereby solving the problem of slipping caused by using a low-viscosity glue, also solving the additional problem of the feeding amount of the glue, and thus improving the spreading quality.

Abstract: This application provides a display substrate, a method for manufacturing the same, and a display device, which belongs to the technical field of displays. The method for manufacturing the display substrate comprises: forming a metal layer on a base substrate; forming a photoresist layer on the metal layer; exposing the photoresist layer by using a mask plate; developing the exposed photoresist layer to form a photoresist pattern; and omitting a step of baking the photoresist pattern, and etching the metal layer by using the photoresist pattern as a mask to form a signal line. The technical solution of the present disclosure can realize a narrow frame of a display product.

Abstract: The present application relates to the technical field of electronic materials, in particular to a metal complex and an organic electroluminescent device. The metal complex provided by the present application has the following structure: and thus the organic electroluminescent device containing the metal complex may have high external quantum efficiency and a long device life.

Abstract: This application provides a screen brightness adjustment method, an electronic device, and a storage medium. The method may be applied to an electronic device, and the electronic device includes a screen and an ambient light sensor. The method includes: receiving a first preset operation of turning on the screen by a user; in response to the first preset operation, collecting first light intensity data by using the ambient light sensor, where the first light intensity data is used to update backlight brightness of the screen; turning on the screen by using first backlight brightness corresponding to the first light intensity data; and periodically collecting, after the screen is turned on, second light intensity data by using the ambient light sensor, and adjusting the backlight brightness of the screen by using second backlight brightness corresponding to the second light intensity data.

Abstract: Embodiments are disclosed for a method. The method includes determining a correlation list of missing value predictors. The method also includes generating a cluster model having multiple clusters. The cluster model is based on a target value and predictor values. The method further includes determining an imputed value for a missing value of a row of original training data based on a linear regression model for multiple non-missing value predictor values for the clusters.

Abstract: The present application belongs to the technical field of medical model equipment, and specifically relates to a flexible spine model and a demonstration and test system implemented based on the same. The spine model includes hard structures and a soft elastic connecting material, and the hard structures simulate a layout of spine curvatures and are connected into a whole through the soft connecting material. 1) The present application provides a spine model closer to mechanical characteristics of a human spine and can provide a device for practicing and teaching spine correction treatment for learners. 2) The present application provides a scoliosis correction demonstration model, which can provide a whole visual process of scoliosis correction demonstration for the learners to help improve the learning effect. 3) The present application provides a spine internal fixation system test model which can be used for evaluating properties of different spine internal fixation systems.

Abstract: Disclosed herein is a system for implementing a management controller on a node, or network server, that is dedicated to monitoring the individual health of a plurality of accelerator modules configured on the node. Based on the monitored health, the management controller is configured to implement autonomous power cycle control of individual accelerator modules. The autonomous power cycle control is implemented without violating the requirements of standards established for accelerator modules (e.g., OPEN COMPUTE PROJECT requirements, PERIPHERAL COMPONENT INTERCONNECT EXPRESS (PCIe) interface requirements).

Abstract: The disclosed systems and methods assist transmitted content in reaching a receiver, even if a network is subjected to sophisticated tampering. A device for a communication network including a plurality of nodes and a plurality of paths connecting a source node, which is a transmission source of information, and a terminal node, which is a destination of the information. A segmentation instruction unit being configured to instruct the source node to disperse the information into a plurality of pieces of random number data, to encode the random number data by an error correction code to generate codewords, and to order the codewords from the beginning and divide the codewords into a plurality of segments, the first transmission instruction unit being configured to instruct the source node to transmit OTP-encrypted data of the plurality of segments through the plurality of paths.

Abstract: Embodiments of the present disclosure relate to an image processing method and apparatus, a device, and a medium. The method includes: acquiring an original image to be processed and a perspective correction direction of the original image, wherein the perspective correction direction includes a preset direction and/or a custom direction; acquiring image transformation information corresponding to the original image according to the perspective correction direction, wherein the image transformation information includes one or more of image scaling information, image rotation information, or target point position information; and obtaining a corrected image by performing correction processing on the original image based on the image transformation information.

Abstract: A system for managing user-generated content (UGC) and professionally generated content (PGC) is disclosed. The system is programmed to receive digital audio data having two channels from a social media platform. The system is programmed to extract spatial features that capture differences in the two channels from the digital audio data. The system is programmed to also extract temporal features, spectral features, and background features from the digital audio data. The system is programmed to then use the extracted features to determine whether to process the digital audio data as UGC or PGC before playback.

Abstract: A method for dynamically adjusting a proxy server timeout includes identifying each microservice within a proxy server and mapping a topology of microservices, assigning each microservice to one of an application layer, a middleware layer and an infrastructure layer. Defining each representational state transfer (REST) application programming interface (API) calling relationship between each microservice and each other microservice. Determining a corresponding regression model defining a response time of each microservice based at least in part on a set of available response time predictors. Building a sequence model for at least one microservice in the application layer. Predicting an incoming REST API call and identifying a probable sequence model corresponding to the predicted incoming REST API call. Updating a timeout value of the predicted REST API call within the proxy server based on the sequentially predicted response times.

Abstract: An array substrate is provided. The array substrate has a display region, a fan-out region, and a bonding region. The array substrate includes a base, a plurality of connecting leads, and a planarization layer. The planarization layer is located on a side of the plurality of connecting leads away from the base, and has a first pattern region located in the fan-out region. The planarization layer includes a plurality of first recessed portions provided in the first pattern region, and an orthographic projection of at least one first recessed portion on the base overlaps with an orthographic projection of at least one connecting lead on the base; and along a direction perpendicular to the base, the first recessed portions and the connecting leads have a distance therebetween.

Abstract: Methods and systems for image generation include generating a latent representation of an image, modifying the latent representation of the image based on a trained attribute classifier and a specified attribute input, and decoding the modified latent representation to generate an output image that matches the specified attribute input.

Abstract: A data processing method includes, in response to an interaction message being displayed on an interaction interface, displaying a virtual object in an interaction area in which the interaction message is located, and displaying a resource object at a target location on the interaction interface. The virtual object and the resource object are associated with the interaction message, and the resource object and the virtual object are configured to interact with each other. The method further includes displaying, on the interaction interface, interactive movement involving the virtual object and the resource object. The interactive movement includes moving the virtual object from a location of the interaction area, and/or moving the resource object from the target location.

Abstract: Methods, apparatus, programs, and storage media for enhancing speech signals based on a neural network are provided. The method includes receiving a speech signal and a corresponding reference speech signal. A first set of band features is extracted from the speech signal and a second set of band features is extracted from the reference speech signal, wherein each feature in the first set of band features corresponds to a frequency band of the speech signal and each feature in the second set of band features corresponds to a frequency band of the reference speech signal. A first mask is determined by inputting the third set of band features into a speech enhancement neural subnetwork. The low frequency mask part and the increased number of entries are combined into a second mask. A fourth set of band features is determined based on the second mask and the speech signal.

Abstract: Disclosed are a Mamba model-based lithium battery lifetime prediction method and system in the technical field of energy storage in renewable energy power systems, the method including: acquiring aging feature matrices of a plurality of lithium batteries and inputting the same into a Mamba model for training, extracting a hidden state matrix sequence of each of the lithium batteries based on the trained Mamba model, and obtaining a cycle count sequence corresponding to a target cycle life prediction point of each of the lithium batteries through norm calculation and variational mode decomposition; constructing a linear relationship model for lithium battery lifetime prediction based on cycle count sequences corresponding to target states of health of all of the lithium batteries and cycle count sequences corresponding to target cycle life prediction points of all of the lithium batteries.

Abstract: Methods and systems for training a model include training an encoder in an unsupervised fashion based on a backward latent flow between a reference frame and a driving frame taken from a same video. A diffusion model is trained that generates a video sequence responsive to an input image and a text condition, using the trained encoder to determine a latent flow sequence and occlusion map sequence of a labeled training video.

Abstract: The present disclosure relates to a visible light-catalyzed translucent concrete, and a preparation method and use thereof. The preparation method includes: extracting an iron oxide from a copper slag, mixing the iron oxide with TiO2 to obtain a photocatalyst, and then mixing the photocatalyst with an additive to obtain a photocatalytic slurry; preparing a concrete slurry using the copper slag after iron extraction as an aggregate; and pouring the photocatalytic slurry, the concrete slurry, and the photocatalytic slurry in sequence into a mold pre-laid with an optical fiber, to obtain the visible light-catalyzed translucent concrete. In the visible light-catalyzed translucent concrete, iron in the copper slag is used as a part of raw materials of the photocatalyst, and the copper slag after iron extraction is used as an aggregate to replace natural sand and gravel. This solves environmental pollutions caused by the copper slag and realizes resource utilization.

Abstract: Disclosed are a method, device, medium, and product for extracting feature maps from operational data of lithium batteries. The method includes: acquiring operational data of a lithium battery; selecting target operational data from the operational data to obtain a plurality of target data groups; sorting a plurality of operational data in each of the target data groups to obtain an initial matrix; performing mean-variance normalization processing on each column of the initial matrix to obtain a normalized matrix; calculating a covariance matrix of the normalized matrix; performing singular value decomposition on the covariance matrix to obtain an eigenvector matrix; calculating a dimensionality reduction matrix corresponding to each of the target data groups according to the eigenvector matrix; scaling the dimensionality reduction matrix to construct a three-dimensional feature map matrix; and converting the three-dimensional feature map matrix into an image to obtain a feature image of the lithium battery.