Abstract: The present invention relates to a polypeptide and application thereof in preparation of an anti-fibrosis drug. The polypeptide of the present invention has an amino acid sequence as shown in SEQ ID NO. 1. The polypeptide of the present invention has good cell penetrability, can efficiently enter target cells, can permanently exist in a target organ after reaching the target organ, and has no obvious toxic or side effect in an effective dose range; can effectively inhibit a classic signaling pathway of fibrosis, thereby inhibiting expression of proteins, such as fibrosis markers and extracellular matrices; and can effectively inhibit fibrosis of a target organ and improve functions of the target organ. A new drug and a solution are provided for clinical treatment of fibrosis diseases, and the polypeptide has important significance for improving a clinical treatment effect of the fibrosis diseases and improving life quality of patients.

Abstract: The present invention discloses an acrylate oligomer, the acrylate oligomer is obtained by a reaction of isocyanate group-terminated oligomer and formate-terminated ethylene glycol methacrylate. After the acrylate oligomer provided by the present invention is photocured, the molecular structure, cross-linking density and other network structure characteristics of the acrylate oligomer can be changed through specific post-processing. Since the formate component formed after heat treatment has no water absorption and has a low glass transition temperature, the final material obtained after heat treatment has a lower water absorption rate and glass transition temperature. The present invention also provides a preparation method and an application method of the acrylate oligomer.

Abstract: A method for model predictive current control of a two-motor torque synchronization system, which belongs to the field of power electronics and motor control. The present disclosure takes an indirect matrix converter and a two-motor system which are coaxially and rigidly connected as a target, and takes two-motor torque synchronization performance and current tracking performance as main control objectives. A two-motor unified prediction model is established and a value function based on free components of error items is configured so as to solve the problems in which when model predictive current control is performed on a two-motor system, setting of a value function weighting coefficient needs to be performed manually, and consequently the setting process is complicated and an erroneous switch state combination is likely to be selected.

Abstract: A method, a use, a device, an electronic equipment and a storage medium for measuring a polarization uniformity of non-uniformly totally polarized beams, which comprises the following steps: inputting a Stokes parameter distribution of a cross section of non-uniformly totally polarized beams; calculating the Stokes parameter distribution to correspond to a Poincare sphere; performing surface fitting on a polarization state distribution on the Poincare sphere through a spatial triangle surface fitting algorithm; calculating a sum SD of the areas of the fitted triangular surfaces; dividing SD by a total area S0 of the unit Poincare sphere to obtain get the polarization uniformity ? of the non-uniformly totally polarized beams.

Abstract: Disclosed in the present invention is a graph theory-based method for locating an instability fault source in a direct-current microgrid. The method includes: collecting key electrical feature quantities through an instability fault feature collection and extraction link to accurately capture an instability oscillation phenomenon, and utilizing wavelet packet decomposition to construct fault feature vectors; then, according to the structure of the direct-current microgrid, constructing an undirected graph model G=(V, E, X), which lays a foundation for analysis; applying a graph convolutional neural network for deep learning and training to further improve the accuracy and efficiency of diagnosis; deploying the trained model in an actual system to effectively achieve accurate fault diagnosis and location of an instability source. Also provided in the present invention is a device for locating an instability fault source in a direct-current microgrid.

Abstract: Disclosed in the present invention is a cable dome structure using continuous ridge cables. A structure system includes n same plane trusses which are distributed in the radial direction and each consist of continuous cables and rods, the plane trusses being connected by means of k?1 circles of hoop cables to form a stable whole. The cable dome structure consists of ridge cables, hoop cables and pressing rods. Each ridge cable starts from a lower joint of a pressing rod and sequentially passes through upper joints of outer side pressing rods, and all the ridge cables converge on a support joint. The ridge cables have overlaps. Upper joints of the pressing rods and inner side adjacent cables are fixedly connected, and lower joints of the pressing rods and the hoop cables are fixedly connected, the cables slidably passing through the joints.

Abstract: A construction method for a spatial aggregate reinforced 3D printed concrete structure, includes: selecting a structural member, performing mechanical analysis, and determining a basic dosage and a printing and weaving process of an implanted reinforcement, determining a type, positioning and dosage of a spatial aggregate, preparing 3D printing materials, editing an electromagnetic signal and positioning push program according to the selected positioning and dosage of the spatial rigid aggregate, the 3D printing material is extruded along the printing and weaving process and the spatial rigid aggregate is evenly scattered, and realizing the connection between spatial aggregates and the connection between the spatial aggregates and the reinforcements, a spatial aggregate reinforced 3D printed concrete structure is formed after layer-by-layer construction, superimposed and hardened, or after segmented printing, component nodes are connected through lap design of preset tenon and mortise and reinforcement.

Abstract: The present invention discloses a PET system attenuation correction method based on a flow model. The flow model adopted is a completely reversible model, the forward and reverse mappings share the same parameters, and the structure itself is a consistency constraint. The model utilizes the spatial correlation of adjacent slices, and adopts the structure of multi-slice input and single-slice output. The model consists of multiple reversible blocks, each of which consists of a enhanced affine coupling layer and a reversible 1×1 convolutional layer, and uses several small u-nets to learn the transformation parameters of the enhanced affine coupling layer. The present invention avoids additional CT or MR scanning, saves scanning cost for the patient, and reduces the damage of CT radiation to the patient; compared with similar methods, higher quality non-attenuation-corrected PET image can be obtained.

Abstract: An R-tree index merging and updating method and apparatus based on a Hilbert curve, and a medium. The method comprises: S1, acquiring a first R-tree to be merged and a second R-tree into which the first R-tree is to be inserted; S2, querying a node for insertion, for each merged leaf node in a leaf node level of the first R-tree by means of a “top to bottom” hierarchical query algorithm; S3, inserting, according to an order of the Hilbert values, spatial objects included in each leaf node in the first R-tree into the node for insertion that is determined in S2, thereby merging the two R-trees; and S4, for the second R-tree after merging, updating information stored in each node level by level according to an order from a leaf node to a root node.

Abstract: A process-in-memory architecture based on a resistive random access memory and a matrix decomposition acceleration algorithm, which is configured for transformer neural network acceleration. The present disclosure first optimizes a self-attention computing process, decomposes a weight matrix, and reduces computing and writing operands; and further reduces whole power consumption using a softmax computing array of a selection and comparison logic structure based on the resistive random access memory. The present disclosure proposes an optimized matrix multiplication computing based on Re-Transformer, and further eliminates data dependency and reduces computing delay in scaled dot-product attention by using matrix decomposition. Meanwhile, the present disclosure reduces power consumption by using hybrid softmax based on the resistive random access memory.

Abstract: A data encoding method includes determining a value of a syntax element of point cloud data of a point cloud. The point cloud data includes attribute values of the point cloud and the syntax element indicates a search range of the attribute values during prediction encoding. The method further includes performing prediction processing on the attribute values according to the search range to obtain residuals of the attribute values, and encoding the residuals and a difference between the value of the syntax element and a constant value to generate code stream data. The constant value is a positive number.

Abstract: A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.

Abstract: The present invention provides a cyclic tetradentate metal platinum complex phosphorescent material based on pyridine heterocycle, benzoxazole, and carbazole derivatives. It is a novel tetradentate platinum (II) complex with a 6/6/6 metal fused ring phenoxy coordination structure. The phosphorescent material of the N—C—N—N tetradentate fused ring structure system of the present invention have the characteristics of easy modulation of HOMO and LUMO orbital energy levels and strong luminescence. It has good chemical stability and thermal stability, and is easy to fabricate evaporation-type OLED devices.

Abstract: The present invention is in the field of organic electroluminescence, and specifically relates to a fused ring carbazole tetradentate metal platinum (II) complex and use thereof. In the present invention, a tetradentate metal platinum (II) complex phosphorescent material is obtained by introducing a five-membered heterocyclic system such as benzofuran or benzothiophene at the 5, 6-positions of carbazole. Increasing the ratio of the local state (LE) in the excited triplet state of the cyclic tetradentate platinum (II) complex leads to a lower shoulder peak, which improves the luminescence color purity of the materials, which in turn increases device lifetime. The materials provided by the present invention all have good chemical stability and thermal stability and are easy to fabricate an evaporation-type OLED device.

Abstract: A vacuum chamber structure of an ultra-high gravity geotechnical centrifuge device, comprising: a cylindrical shell, a convex head, a bottom head, a lower bearing sealing cover, and a vacuum pressure-bearing chamber formed by sealing a top cylindrical cylinder and an upper sealing plate with sealing rings; wherein a high-speed rotor system is enclosed in the vacuum pressure-bearing chamber, and a cylindrical cooling device is installed between an internal side of the cylindrical shell and the high-speed rotor system. An annular cooling device is provided directly above the hanging baskets on both sides of the centrifuge arm. A vibration isolation expansion joint is arranged at the intersection of the high-speed rotor system and the cylindrical cylinder, which isolates the vibration of the main engine from the vacuum chamber and greatly reduces the vibration.

Abstract: The present invention discloses Stenotrophomonas maltophilia GYH and its application in degrading chlorinated hydrocarbon pollutants, and the application is carried out as follows: resting cells obtained by spreading cultivation of Stenotrophomonas maltophilia GYH are added to a pH=5-8 inorganic salt medium, and then a chlorinated hydrocarbon pollutant is added, and the cells are cultured at 20-35° C. and 140-180 rpm to degrade the pollutant. The concentration of chlorinated hydrocarbon pollutant which can be removed by Stenotrophomonas maltophilia GYH ranges from 2.9 mg/L to 8.93 mg/L. Therefore, the Stenotrophomonas maltophilia has a highly efficient degradation ability for similar industrial pollutants and is able to withstand high concentrations of these pollutants.

Abstract: The present invention discloses an adaptive knowledge graph representation learning method for integrating a graph structure with text information, including: (1) sampling a neighbor triple of each of a head entity and a tail entity in a target triple; (2) calculating semantic representations of the target triple, and neighbor triples of its head and tail entities; (3) calculating structure representations of the head and tail entities of the target triple; (4) splicing the semantic representation of the target triple with the structure representations of its head and tail entities, inputting a spliced result into an adaptive classification layer, and calculating a classification result and a classification loss; and (5) optimizing the foregoing module based on an optimization algorithm of gradient descent, until a loss value converges, to obtain a final spliced result between the semantic representation of the target triple and the structure representations of its head and tail entities.

Abstract: The present invention discloses a decoupling divide-and-conquer facial nerve segmentation method and device. As for the characteristics of a small facial nerve structure and a low contrast, a facial nerve segmentation model including a feature extraction module, a rough segmentation module, and a fine segmentation module is constructed. The feature extraction module is configured to extract a low-level feature and a plurality of different- and high-level features. The rough segmentation module is configured to globally search the different- and high-level features for facial-nerve features and fuse them. The fine segmentation module is configured to decouple a fused feature to obtain a central body feature. After the central body feature is combined with the low-level feature to obtain an edge-detail feature, a space attention mechanism is used to extract attention features from the central body feature and the edge-detail feature, to obtain a facial nerve segmentation image.

Abstract: A method for diagnosing rotor rub-impact in a rotating machinery based on vibration signal deconstruction and frequency modulation characteristic anti-noise enhancement, including: converting, based on two-stage integration transformation and high-pass filtering, vibratory acceleration signals from a rotating machinery device into vibratory displacement signals; performing targeted extraction on a rotating frequency component therein based on an improved variational mode decomposition method; calculating and estimating instantaneous fluctuation characteristics of a fundamental frequency of the extracted rotating frequency component using a quadrature-derivative-based normalized Hilbert transform to obtain an instantaneous frequency; inputting a calculated instantaneous frequency sequence into an optimum stochastic resonance system for anti-noise enhancement of intrawave frequency modulation characteristics; and processing FFT on an instantaneous frequency of intrawave frequency modulation characteristics afte

Abstract: An ultrasonic extraction device for plant polyphenols is provided, which includes an ultrasonic processor system, configured for conducting ultrasonic-assisted enzymatic hydrolysis on mixed cellulase solution and plant raw material suspension to extract plant polyphenols; a reactor flow system, including a first reactor flow subsystem, wherein the first reactor flow subsystem is configured for mixing cellulase solution and plant raw material suspension and conveying mixed cellulase solution and plant raw material suspension into the ultrasonic processor system, and the mixed cellulase solution and plant raw material suspension can circulate in the ultrasonic processor system; and a reactor control system, configured for detecting temperature in the ultrasonic processor system and concentration of plant polyphenols in the solution after reaction in the ultrasonic processor system, and controlling working conditions of the ultrasonic processor system and the reactor flow system accordingly.