Abstract: A spectral clustering method and system based on unified anchor and subspace learning is provided. The spectral clustering method based on unified anchor and subspace learning includes: S1: acquiring a clustering task and a target data sample; S2: performing unified anchor learning on multi-view data corresponding to the acquired clustering task and the acquired target data sample, and adaptively constructing an objective function corresponding to an anchor graph according to a learned unified anchor; S3: optimizing the constructed objective function by using an alternating optimization method to obtain an optimized unified anchor graph; and S4: performing spectral clustering on the obtained optimized unified anchor graph to obtain a final clustering result.

Abstract: A consensus graph learning-based multi-view clustering method includes: S11, inputting an original data matrix to obtain a spectral embedding matrix; S12, calculating a similarity graph matrix and a Laplacian matrix based on the spectral embedding matrix; S13, applying spectral clustering to the calculated similarity graph matrix to obtain spectral embedding representations; S14, stacking inner products of the normalized spectral embedding representations into a third-order tensor and using low-rank tensor representation learning to obtain a consistent distance matrix; S15, integrating spectral embedding representation learning and low-rank tensor representation learning into a unified learning framework to obtain a objective function; S16, solving the obtained objective function through an alternative iterative optimization strategy; S17, constructing a consistent similarity graph based on the solved result; and S18, applying spectral clustering to the consistent similarity graph to obtain a clustering resul

Abstract: An unsupervised feature selection method based on latent space learning and manifold constraints includes: S11, inputting an original data matrix to obtain a feature selection model; S12, embedding latent space learning into the feature selection model to obtain a feature selection model with the latent space learning; S13, adding a graph Laplacian regularization term into the feature selection model with the latent space learning to obtain an objective function; S14, solving the objective function by adopting an alternative iterative optimization strategy; and S15, sequencing each feature in the original matrix, and selecting the first k features to obtain an optimal feature subset. Feature selection is performed in a learned potential latent space, and the space is robust to noise. The potential latent space is modeled by non-negative matrix decomposition of a similarity matrix, and the matrix decomposition can unambiguously reflect relationships between data instances.

Abstract: A multi-view clustering method and system based on matrix decomposition and multi-partition alignment are provided.

Abstract: A late fusion multi-view clustering method and system based on local maximum alignment are provided. The late fusion multi-view clustering method based on local maximum alignment includes the following steps: S1: acquiring a clustering task and a target data sample; S2: initializing a permutation matrix of each view and a combination coefficient of each view, and performing average partition of kernel k-means clustering on an average kernel to obtain a neighbor matrix of each view; S3: calculating basic partition of each view, and establishing a late fusion multi-view clustering objective function based on maximum alignment; S4: acquiring basic partition having local information, and establishing a late fusion multi-view clustering objective function based on local maximum alignment; S5: solving the established late fusion multi-view clustering objective function based on local maximum alignment in a cyclic manner to obtain optimal partition; and S6: performing k-means clustering on the optimal partition.

Abstract: A system for unsupervised deep representation learning based on image translation is provided. The system includes an image translation transformation module used for performing a random translation transformation on an image and generating an auxiliary label; an image mask module connected with the image translation transformation module and used for applying a mask to the image after translation transformation; a deep neural network connected with the image mask module and used for predicting an actual auxiliary label of the image after the mask is applied and learning the deep representation of the image; a regression loss function module connected with the deep neural network and used for updating parameters of the deep neural network based on a loss function; and a feature extraction module connected with the deep neural network and used for extracting the representation of the image.

Abstract: A citation network graph representation learning system and method based on multi-view contrastive learning is provided. The citation network graph representation learning system involved in the present application comprises: a sample construction module, which is configured to construct a corresponding negative sample based on an original graph; a graph enhancement module, which is configured to obtain a positive sample graph and a negative sample graph; a fusion module, which is configured to obtain a consensus representation of the positive sample graph and the negative sample graph by means of a cross view concentration fusion layer; a mutual information estimation module, which is configured to compare learning representations of positive sample pairs and negative sample pairs by means of a discriminator; and a hard sample mining module, which is configured to represent the consistency between the negative sample pairs according to a pre-calculated affinity vector, and select and reserve nodes.

Abstract: A multi-modal adaptive fusion deep clustering model based on an auto-encoder includes an encoder structure, a multi-modal adaptive fusion layer, a decoder structure and a deep embedding clustering layer. The encoder is configured to enable a dataset to be respectively subjected to three types of nonlinear mappings of the auto-encoder, a convolutional auto-encoder and a convolutional variational auto-encoder to obtain potential features, respectively. The multi-modal adaptive feature fusion layer is configured to fuse the potential features into a common subspace in an adaptive spatial feature fusion mode to obtain a fused feature. The decoder is configured to decode the fused feature by using a structure symmetrical to the encoder to obtain a decoded reconstructed dataset. The deep embedding clustering layer is configured to cluster the fused feature Z and obtain a final accuracy ACC by comparing a clustering result with a true label.

Abstract: Disclosed is a magnetorheological intelligent fixture for grinding, including a container (1), a water bladder (2), a pressure transmitter (4), a water pump (15), a first electromagnet (8), a controller (10), and an elastic telescopic rod. The elastic telescopic rod is disposed at a bottom of the container (1). Each side wall of the container (1) is provided with the water bladder (2). The water bladders (2) are mutually communicated. The water bladders (2) are respectively communicated with the pressure transmitter (14) and the water pump (15) respectively. The water pump (15) is connected to the water tank (6). A workpiece to be clamped is disposed at a top of the elastic telescopic rod. The container (1) is disposed above the first electromagnet (18). The first electromagnet (8), the pressure transmitter (4), and the water pump (15) are all electrically connected to the controller (10).

Abstract: A solid-state passive evaporative cooling system includes a hydrogel body, a water supply channel, a hydrogel root, and a water supply device. One end of the water supply channel is embedded into the hydrogel body, and a plurality of water outlets are formed in an outer wall of the water supply channel embedded into the hydrogel body. A water inlet at the other end of the water supply channel is connected to the water supply device which is configured to pump an aqueous solution into the water supply channel. The hydrogel root is disposed within the water supply channel. The aqueous solution is solidified by the hydrogel body to achieve the water-saving effect. During evaporative cooling, an osmotic pressure may be spontaneously created or enhanced within the system. The water supply channel is capable of adjusting the water content of the hydrogel body and providing a water supply driving force.

Abstract: The present disclosure is a high-stability and large-torque magnetorheological fluid clutch. Firstly, in order to prevent sedimentation of the magnetorheological fluid, blades are installed on the disc body of an input disc. When the clutch operates in a power interruption mode, the blades can stir the magnetorheological fluid, so that the sedimented magnetorheological fluid is uniformly mixed. Secondly, in order to improve the maximum transmission torque of the magnetorheological fluid clutch, an excitation magnetic field is increased in a mode that a permanent magnet and an electromagnet are connected in series. Meanwhile, a third electric push rod is used for pushing the input disc, and the magnetorheological fluid works in a shearing-extruding working mode, so that the yield stress of the magnetorheological fluid is improved. Therefore, the maximum transmission torque of the magnetorheological fluid clutch is improved.

Abstract: A method for preparing carbon-functionalized praseodymium oxide includes the following steps: dissolving Pr(NO3)3·6H2O in an acid dye solution and stirring to form a mixed solution; adding NH3H2O dropwise in the mixed solution while stirring to adjust a pH value of the mixed solution, thereby forming a suspension, and then aging the suspension for 2 to 4 hours; filtering, washing with water, washing with alcohol, and drying the aged suspension to obtain a carbon-functionalized Pr6O11 precursor; and placing the carbon-functionalized Pr6O11 precursor in a tube furnace under a protection of nitrogen, heating the carbon-functionalized Pr6O11 precursor to a sintering temperature at a heating rate of 4 to 6 degrees Celsius/min, keeping at the sintering temperature for 3 to 4 hours, and then cooling to room temperature, thereby obtaining the carbon-functionalized Pr6O11.

Abstract: Disclosed is a method for synthesizing dibenzcycloheptanone derivatives by series cyclization of free radicals under electrooxidation conditions, belonging to the technical field of organic synthesis. The disclosed method includes: taking o-propionyl biphenyl analogues and sodium benzenesulfinate analogues as raw materials, and electrifying and reacting the raw materials in an electrolytic cell to obtain dibenzocycloheptane derivatives. According to the application, benzenesulfinate anion is oxidized into benzenesulfonyl radical under the condition of constant current and electrolyte, then the radical attacks the a-position of alkynone reactant carbonyl to obtain an alkenyl radical, then the alkenyl radical is cyclized and added to another benzene ring by 7-endo-trig to realize the construction of seven-membered ring, and finally the dibenzocycloheptane analogue is obtained by deprotonation.

Abstract: The present disclosure is a high-stability and large-torque magnetorheological fluid clutch. Firstly, in order to prevent sedimentation of the magnetorheological fluid, blades are installed on the disc body of an input disc. When the clutch operates in a power interruption mode, the blades can stir the magnetorheological fluid, so that the sedimented magnetorheological fluid is uniformly mixed. Secondly, in order to improve the maximum transmission torque of the magnetorheological fluid clutch, an excitation magnetic field is increased in a mode that a permanent magnet and an electromagnet are connected in series. Meanwhile, a third electric push rod is used for pushing the input disc, and the magnetorheological fluid works in a shearing-extruding working mode, so that the yield stress of the magnetorheological fluid is improved. Therefore, the maximum transmission torque of the magnetorheological fluid clutch is improved.

Abstract: The present disclosure discloses a Streptomyces antioxidans strain Sa-21, namely, strain Sa-21 with an accession number of CCTCC NO: M 2020423. The present disclosure also discloses the use of the aforementioned Strepiomyces antioxidans strain Sa-21 in inhibition of Alternaria solani (A. solani). The Streptomyces antioxidans strain also has an inhibiting effect on both plant pathogenic fungi and plant pathogenic bacteria.

Abstract: The invention discloses a method and its device for preparing a magnetic core with amorphous ribbon. The magnetic core is prepared with amorphous ribbon, the size of the amorphous ribbon is controlled according to the target requirements, and the magnetic core with required size and shape is prepared according to the target requirements; the single-roller rapid quenching technology with online automatic segmentation and automatic storage capability is used for preparation, which can control the length, width and thickness of the amorphous ribbon according to the target requirements; the amorphous ribbon segmented by single-roller rapid quenching technology is used to spray and cool down one by one, and then air-dry, transfer, spray adhesive and online store it one by one; the stored amorphous ribbon is reshaped, compressed and heat-treated successively, and then demoulded to prepare a magnetic core.

Abstract: The present disclosure provides a digital image sensing device with a light intensifier, its structure includes a locating handle, a button, a host, a light intensifier, a regulating mechanism and a sensor, wherein the locating handle is connected to the host, the host fits with the light intensifier through the button in a form of electric connection, and the regulating mechanism is arranged between the light intensifier and the sensor; a stopping device and an interweaving device are arranged on a force-assisted body, and mutual fit is performed on a fillet cylinder through the stopping device and the interweaving device; when a guide rail has a closing tendency, a drum bulge inside the guide rail will firstly push the fillet cylinder to roll upwards, the interweaving device is guided to be located on a stabilizer through a pulling sheet.

Abstract: The present invention relates to the field of electrode material of a low temperature resistant supercapacitor, and in particular to a nickel foam-supported defective tricobalt tetroxide nanomaterial, a low temperature resistant supercapacitor and a preparation method thereof. The method includes the following steps: dissolving cobalt acetate in an ethylene glycol solution and stirring uniformly to obtain a pink transparent solution; adding hexadecyl trimethyl ammonium bromide to the pink transparent solution, and stirring until the hexadecyl trimethyl ammonium bromide dissolves to obtain a mixed solution; putting the mixed solution into a teflon-lined reactor, adding pretreated nickel foam for hydrothermal reaction, taking out the nickel foam after the reaction is completed, and ultrasonic cleaning the nickel foam repeatedly before drying; and heat-treating the nickel foam obtained after drying.

Abstract: The application belongs to the field of biotechnology and microbiology, in particular to a strain of Streptomyces roseoverticillatus (Sr-63) which antagonizes the Rice Bacterial Blight and its application in the prevention and treatment of plant diseases. The application discloses a strain of S. roseoverticillatus (Sr-63) with the accession number CCTCC No.: M 2019261. It is also disclosed the application of the S. roseoverticillatus (Sr-63): used for controlling Rice Bacterial Blight.

Abstract: A method for preparing a compound with a spiro[5.5] molecular skeleton by electrooxidation is provided, which relates to the field of organic synthesis technology. Specifically, the method includes o-alkynyl benzoyl biphenyl reacts with sodium fluoromethylsulfite in an electrolyte and a solvent under a current condition to obtain the compound with the spiro[5.5] molecular skeleton. The method uses cheap CF3 (trifluoromethyl) free radical and electrooxidation to realize the de-aromatization of biphenyl without catalyst. The reaction can occur only under the action of current, which is energy-saving and economical. The free radical used in the reaction is cheap, easy to obtain and low cost. The reaction device is simple and easy to operate, and the yield of the reaction is as high as 60%.