Abstract: The disclosure provides a compensation method, system, device and medium of a IR Drop of a display panel. The compensation method includes: constructing a IR Drop model of the display panel based on a distribution of equivalent resistances between adjacent pixels in the display panel; constructing a vector matrix equation of the IR Drop according to the IR Drop model; performing an equivalent processing on the vector matrix equation of the IR Drop to form a plurality of equivalent sub-matrices; iteratively solving IR Drop data of each node in each equivalent sub-matrix; and performing a voltage compensation on each pixel in the display panel according to the IR Drop data. The disclosure may realize a point-to-point accurate compensation of all nodes in the display panel, and improves a problem of uneven brightness of a high-resolution display panel caused by the IR Drop.

Abstract: The disclosure provides a compensation method, system, device and medium of a IR Drop of a display panel. The compensation method includes: constructing a IR Drop model of the display panel based on a distribution of equivalent resistances between adjacent pixels in the display panel; constructing a vector matrix equation of the IR Drop according to the IR Drop model; performing an equivalent processing on the vector matrix equation of the IR Drop to form a plurality of equivalent sub-matrices; iteratively solving IR Drop data of each node in each equivalent sub-matrix; and performing a voltage compensation on each pixel in the display panel according to the IR Drop data. The disclosure may realize a point-to-point accurate compensation of all nodes in the display panel, and improves a problem of uneven brightness of a high-resolution display panel caused by the IR Drop.

Abstract: A deep learning fault diagnosis method includes the following steps: a fault diagnosis data set X is processed based on sliding window processing, to obtain a picture-like sample data set {tilde over (X)}, and obtain an attention matrix A of the picture-like sample data set {tilde over (X)}; and a 2D-CNN model is constructed to process the picture-like sample data set {tilde over (X)} to obtain a corresponding feature map F, and in the meantime, the feature map F is processed based on channel-oriented average pooling and channel-oriented maximum pooling to obtain an output P1 of the average pooling and an output P2 of the maximum pooling, and a weight matrix W is obtained based on the attention matrix A, the output P1 of the average pooling, and the output P2 of the maximum pooling, so that an output of the model is a feature map {tilde over (F)} based on an attention mechanism, where {tilde over (F)}=WF.

Abstract: A magnetic material used in the magnetic SF-based composite aerogel is a ferroferric oxide nanocubic particle, which is a magnetic nanomaterial with both excellent magnetocaloric performance and excellent photothermal performance. The magnetic SF-based composite aerogel prepared by the present disclosure exhibits excellent responsiveness to both alternating current (AC) magnetic fields and sunlight. Under an action of an AC magnetic field, the magnetic SF-based composite aerogel exhibits excellent temperature rise performance, which can inhibit the generation of biofouling in pores and channels inside a three-dimensional (3D) porous evaporation material. The magnetic SF-based composite aerogel exhibits excellent water evaporation performance under a sunlight irradiation, with a water evaporation rate of 2.03 kg m?2·h?1.

Abstract: The present disclosure provides a phage for lysing Burkholderia gladioli and use thereof, and belongs to the technical field of phages. The phage for lysing Burkholderia gladioli provided by the present disclosure is Burkholderia gladioli phage vB_BglM_WTB with an accession number of CCTCC M 2023525, which is a novel phage. The phage provided by the present disclosure has a strong lytic effect on the Burkholderia gladioli with higher temperature tolerance and wider acid-base tolerance range and effectively kills the Burkholderia gladioli on food surface, providing a new strategy for controlling the Burkholderia gladioli in food processing and environment.

Abstract: The invention provided an electric vehicle charging scheduling method, apparatus and system based on cloud-edge collaboration, a storage medium and an electronic device. In the present invention, a charging request of an electric vehicle user is accepted and processed by an edge computing unit, and a target charging station for a to-be-charged electric vehicle is determined with a minimum traveling cost as a target, so that a data transmission distance is reduced, and the electric vehicle user is timely assisted in selecting the target charging station and completing a charging appointment. After the charging appointment is made, charging data is uploaded to a charging optimization scheduling model pre-trained by a cloud platform for obtaining an electric vehicle charging scheduling strategy, so that powerful cloud platform computing abilities and rapid response advantages of the edge computing unit are fully utilized, the problem of network congestion is avoided, and timeliness is improved.

Abstract: A magnetic material used in the magnetic SF-based composite aerogel is a ferroferric oxide nanocubic particle, which is a magnetic nanomaterial with both excellent magnetocaloric performance and excellent photothermal performance. The magnetic SF-based composite aerogel prepared by the present disclosure exhibits excellent responsiveness to both alternating current (AC) magnetic fields and sunlight. Under an action of an AC magnetic field, the magnetic SF-based composite aerogel exhibits excellent temperature rise performance, which can inhibit the generation of biofouling in pores and channels inside a three-dimensional (3D) porous evaporation material. The magnetic SF-based composite aerogel exhibits excellent water evaporation performance under a sunlight irradiation, with a water evaporation rate of 2.03 kg m?2·h?1.

Abstract: The present disclosure provides a light field display device, including: a backlight layer; a light control array layer; and a control layer. The backlight layer, the light control array layer, and the control layer are arranged side by side, and images on the backlight layer, the light control array layer, and the control layer are superimposed to form a three-dimensional image.

Abstract: A split-type friction stir welding head with an adjustable stirring pin length includes a stirring head housing, where a clamping handle and a detachable stirring pin are successively mounted in the stirring head housing towards a welding direction, the clamping handle is provided with external threads on a periphery thereof and in drive connection with an adjusting plate through threads, the adjusting plate is limited, fixed and mounted in the stirring head housing, and a pore-diameter-adjustable aperture shoulder is mounted between a bottom of the stirring head housing and the detachable stirring pin in order to compensate for an outside gap between a stirring pin channel of the stirring head housing and the detachable stirring pin.

Abstract: A shoulder-angle-adjustable friction stir welding head suitable for a fillet joint includes a stirring head body. A front end of the stirring head body is mounted with a movable shoulder, a stirring pin channel is arranged on the movable shoulder, and the stirring pin channel may allow a stirring pin of the stirring head body to pass through. The present disclosure can respond to welding tasks of the fillet joint of different angles and enlarges an application scope of the friction stir welding head in a manner that the front end of the stirring head body is mounted with the movable shoulder, the stirring pin channel is arranged on the movable shoulder, the stirring pin channel is used for allowing the stirring pin of the stirring head body to pass through, and the angle of the movable shoulder is adjusted.

Abstract: Disclosed is an automatic identification and classification production line for waste mobile phones and a classification method of waste mobile phones.

Abstract: Disclosed are a preparation method for manganese-doped red phosphor, a device and a backlight module including the product. The method includes: 1) mixing A2BF6 polycrystalline particles with mill balls; 2) mixing A2BF6 powder obtained after ball-milling with a hydrofluoric acid for secondary crystallization; 3) filtering out solid particles in A2BF6 and hydrofluoric acid solution after the secondary crystallization; 4) performing ion exchange between A2BF6 particles and A2BF6; and 5) filtering out solid particles to obtain a filter cake, and performing drying treatment to obtain manganese-doped red phosphor.

Abstract: A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.

Abstract: An anti-biofouling shape-memory composite aerogel includes a unidirectional chitosan aerogel channel, a plant polyphenol coating, and a polyphenol/iron ion chelate. The plant polyphenol coating is evenly distributed on an inner wall of the unidirectional chitosan aerogel channel, and the polyphenol/iron ion chelate is located at a top end of the unidirectional chitosan aerogel channel. The anti-biofouling chitosan-based composite aerogel has an evaporation rate of 1.96 kg·m?2·h?1 at an illumination intensity of 1 kW/m2. The composite aerogel has shape-memory properties, and can quickly restore its original shape in water after extrusion, thereby accelerating the diffusion of substances to complete the modification of inner channels. In this way, desirable anti-biofouling ability is achieved, and excellent structural stability as well as continuous and efficient photothermal water evaporation are guaranteed in a complex water environment.

Abstract: A mapping method for right-turn conflict warning lines at urban road intersections includes: obtaining the conflict data of urban intersections and the driving trajectory information of large vehicles and obtaining the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve through the driving trajectory information of large vehicles; using the regression model to construct the dynamic model of the right-turn conflict area of large vehicles and obtain the relationship between the parameters of the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve and the dynamic and static indexes; inputting the dynamic and static indexes of other road intersections into the dynamic model of the right-turn conflict area of large vehicles to obtain the corresponding outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve, and drawing the urban road warning line.

Abstract: A method suitable for driver takeover training of man-machine shared driving vehicle relates to the field of man-machine shared driving technology. The method includes: establishing database, situation-creation, establish a teaching model, take over training, evaluation and analysis of takeover ability. The method divides the driver's takeover behavior into a small operation action through the driver takeover training of the man-machine shared driving vehicle, defines where the driver's eyes need to observe when the takeover reminder appears, how the hands and feet need to be operated, and the sequence of these operations, solves the problems of the driver's tension and being in a flurry in the current sudden takeover reminder. In addition, through the evaluation and analysis of the takeover capability, the method can solve the problem that the existing technology cannot objectively evaluate the driver's takeover capability level.

Abstract: A 5-bromoquinazoline derivative (I), structural formula thereof is as follows: the synthesis method thereof comprises weighing 1.18 g of 5-bromoisatin, 2.5503 g of ammonium formate and 100 ml of absolute methanol in a 250 mL round-bottom flask, heating, stirring and refluxing for 48 h, stopping reaction, rotating to obtain 1.6033 g of filter residue crude product, carrying out column chromatography separation by using dichloromethane and absolute methanol according to a volume ratio of 1:1, and obtaining a target crystal compound I; the application of the 5-bromoquinazoline derivative compound crystal (I), as a catalyst has a good catalytic effect in nitrile silicification reaction of benzaldehyde and auto-polymerization reaction of benzophenone hydrazone, the conversion rates thereof respectively reach 39% and 76%, and the crystal (I) can be used as an anti-cancer reagent which has certain anti-cancer activity of breast cancer, liver cancer and lung cancer.

Abstract: A method for identifying and extracting characterization parameters of recycled concrete sand particles based on deep learning technology is provided. The method integrates image processing method based on deep learning and quickly recognition of recycled concrete sand particles (RCSP), adopts U-Net semantic segmentation model, develops RCSP data set by inventing a 3D image acquisition platform equipment of recycled concrete sand, in which two CCD industrial cameras are used to collect original multi-dimensional images of the moving RCSP synchronously in the same frame. Secondly, data sets are separated into training set and verification set by 4:1, in which training set are first used to train the U-Net semantic segmentation model to quickly identify the recycled concrete sand, during this process the best training parameters of U-Net semantic segmentation model are determined. Finally, the verification sets are adopted to validate the training model.

Abstract: A salty taste enhancing peptide derived from dry-cured ham is provided, and the amino acid sequences thereof are Asp-Leu; Phe-Met-Ser-Ala-Leu-Phe, as shown in SEQ ID NO: 1; and His-Val-Arg-Arg-Lys, as shown in SEQ ID NO: 2. The salty taste enhancing peptide in the present disclosure is of small molecular weight, features easy separation and purification, has strong salty taste enhancing effect and simple sequences, and is easy to synthesize, therefore, the salty taste enhancing peptide can be applied to the fields of food, health products, medicine and biology, and is expected to replace salt substitute products currently available on the market.

Abstract: An anti-biofouling shape-memory composite aerogel includes a unidirectional chitosan aerogel channel, a plant polyphenol coating, and a polyphenol/iron ion chelate. The plant polyphenol coating is evenly distributed on an inner wall of the unidirectional chitosan aerogel channel, and the polyphenol/iron ion chelate is located at a top end of the unidirectional chitosan aerogel channel. The anti-biofouling chitosan-based composite aerogel has an evaporation rate of 1.96 kg·m?2·h?1 at an illumination intensity of 1 kW/m2. The composite aerogel has shape-memory properties, and can quickly restore its original shape in water after extrusion, thereby accelerating the diffusion of substances to complete the modification of inner channels. In this way, desirable anti-biofouling ability is achieved, and excellent structural stability as well as continuous and efficient photothermal water evaporation are guaranteed in a complex water environment.