Abstract: A point cloud attribute encoding method and apparatus, a decoding method and apparatus, and a related device are disclosed. The point cloud attribute encoding method includes sorting all point cloud data to be encoded to acquire sorted point cloud data, the point cloud data to be encoded being point cloud data with attributes to be encoded; grouping the sorted point cloud data based on correlation between the sorted point cloud data to acquire groups to be encoded; and performing point cloud attribute encoding based on the groups to be encoded. It is beneficial for enhancing the correlation between point cloud data within the group, improving the efficiency of decorrelation during intra group transform after grouping, and improving coding efficiency.

Abstract: The present disclosure provides an information processing method and apparatus, an electronic device, and a storage medium. An information processing method includes: providing a first control in a target chat, wherein members of the target chat comprise a chat robot and a current user; creating a first human chat in response to a first operation on the first control, where members of the first human chat comprise the current user and a first human handler; and creating at least one further human chat through the target chat.

Abstract: The instant disclosure is directed to a method for vascularizing a pancreatic islet comprising culturing the pancreatic islet or ?-cells with an endothelial cell comprising an exogenous nucleic acid encoding an ETV2 transcription factor under conditions wherein the endothelial cell expresses the ETV2 transcription factor. The instant disclosure is further directed to a method for making a vascularized ?-cell organoid comprising culturing the pancreatic islet or ?-cells with an endothelial cell comprising an exogenous nucleic acid encoding an ETV2 transcription factor under conditions wherein the endothelial cell expresses the ETV2 transcription factor. Disclosed also are vascularized islets and vascularized ?-cell organoids produced by the methods of the instant disclosure, as well as methods for using the same.

Abstract: A point cloud attribute encoding method, a decoding method, an encoding device and a decoding device are disclosed, the point cloud attribute encoding method including: constructing an N-layer binary tree by partitioning a target point cloud according to positions of points within the point cloud, N being an integer greater than 1; for a target node at layer P of the binary tree, obtaining child nodes of the target node, determining a first attribute coefficient and second attribute coefficients of the target node by transforming first attribute coefficients of the child nodes, P being an integer greater than or equal to 1 and less than or equal to N?1; using the first attribute coefficient of a root node and the second attribute coefficients of each target node in the binary tree as output coefficients of the point cloud attribute encoding method.

Abstract: The present invention discloses a separation membrane based on a reactive support layer, a preparation method and an application, and belongs to the technical field of water treatment membranes. The preparation method includes: (1) subjecting a porous support membrane to an amino grafting reaction to prepare a reactive support membrane; and (2) subjecting an aqueous phase solution and an oil phase solution containing a multi-membered acyl chloride oil phase monomer to interfacial polymerization on the reactive support membrane to prepare a separation membrane based on a reactive support layer; where an aqueous phase monomer in the aqueous phase solution is a semi-aromatic amine or an aromatic amine. In the present invention, the porous support membrane is subjected to the amino grafting reaction to obtain the reactive support membrane, and the interface polymerization is carried out on a surface of the reactive support membrane.

Abstract: A point cloud encoding method, decoding method, encoding device, and decoding device are disclosed. The point cloud encoding method includes calculating a distance from a first point to a parent point of the first point as a first distance; determining a point in un-encoded points closest to the first point as a second point, and calculating residual values on N coordinate components from the second point to the first point; encoding absolute values of the residual values on the N coordinate components from the second point to the first point; encoding signs of the residual values of the second point based on the residual values of the second point and the first distance. The present disclosure utilizes the geometry position relationship between points in a point cloud to encode the absolute values of residual values and the feasible signs of residual values, thereby improving the encoding efficiency of residual values.

Abstract: A method and an apparatus for adjusting an interface layout, and a device, and a storage medium are provided in embodiments of this application. The method includes acquiring a trigger operation for an application to be displayed; and displaying an adapted application interface of the application on the screen in response to the trigger operation, the adapted application interface comprising a plurality of interface elements, and for an interface element interface elements, a first physical size of the interface element presented in the adapted application interface being the same as a second physical size presented in a reference application interface; and the first physical size of the interface element being determined based on an adapted virtual pixel size of the interface element and a dot density, and the adapted virtual pixel size being the same as a reference virtual pixel size of the interface element in the reference application interface.

Abstract: Provided are an odor sniffing device (11) and a vehicle-mounted security inspection apparatus for a container (1). The odor sniffing device (11) includes a primary sampling front end (116), which has a vent adapter (116-1) having a shape matching with a vent of the ventilator of the container, so that when the primary sampling front end (116) fits with the ventilator, the vent adapter (116-1) and the vent generally cooperate to achieve fluid communication. The vehicle-mounted security inspection apparatus (1) may perform imaging inspection and chemical inspection simultaneously.

Abstract: The present invention provides a point cloud attribute entropy encoding method and device, and a point cloud attribute entropy decoding method and device. The encoding method comprises: if an overall encoding processing condition of point cloud attribute residual coefficients is satisfied, performing overall encoding processing on the point cloud attribute residual coefficients, and then ending the encoding; and if not, performing local one-by-one encoding processing on the point cloud attribute residual coefficients until the encoding is ended. The entropy decoding method comprises: if an overall decoding processing condition of the point cloud attribute residual coefficients is satisfied, performing overall decoding processing on the point cloud attribute residual coefficients, and then ending the decoding; and if not, performing local one-by-one decoding processing on the point cloud attribute residual coefficients until the decoding is ended.

Abstract: A method for determining a task-driven pruning module includes: obtaining an input task and a task quantity of a neural network to be pruned, and output information of a component module of the neural network to be pruned; determining a task correlation degree of the component module according to the input task, the task quantity and the output information; determining an input information retention degree of the component module according to the task quantity and the output information; determining an importance index value of the component module according to the task correlation degree and the input information retention degree; and determining the pruning module in the neural network to be pruned according to the importance index value.

Abstract: A trace detection device including: an ion mobility tube; a sampling gas path module; a sample injection gas path module configured to introduce a sample carrier gas containing a sample collected by the sampling gas path module toward the ion mobility tube; and a gas chromatography apparatus capable of pre-separating the sample carrier gas, so as to form a pre-separated sample carrier gas; wherein the sample injection gas path module is further configured to be capable of switching between a first mode and a second mode, in the first mode, the sample injection gas path module introduces the sample carrier gas into the ion mobility tube; and in the second mode, the sample injection gas path module introduces the sample carrier gas into the gas chromatography apparatus to pre-separate the sample carrier gas, and the pre-separated sample carrier gas is introduced into the ion mobility tube.

Abstract: Disclosed is an optimization method for constructing a target detection network. The method includes: obtaining high-quality visual media data, low-quality visual media data corresponding to the high-quality visual media data, and a corresponding true label, extracting a first backbone network side output feature generated by a preset prior network for the high-quality visual media data, and extracting a second backbone network side output feature generated by a preset target detection network to be trained for the low-quality visual media data; constructing a feature correlation loss, a salient target position loss and a salient prediction loss based on the first backbone network side output feature, the second backbone network side output feature, and the true label; and optimizing the preset target detection network to be trained based on the feature correlation loss, the salient target position loss, and the salient prediction loss to obtain the target detection network.

Abstract: A point cloud encoding method, decoding method, encoding device, and decoding device are disclosed. The point cloud encoding method includes calculating a distance from a first point to a parent point of the first point as a first distance; determining a point in un-encoded points closest to the first point as a second point, and calculating residual values on N coordinate components from the second point to the first point; encoding absolute values of the residual values on the N coordinate components from the second point to the first point; encoding signs of the residual values of the second point based on the residual values of the second point and the first distance. The present disclosure utilizes the geometry position relationship between points in a point cloud to encode the absolute values of residual values and the feasible signs of residual values, thereby improving the encoding efficiency of residual values.

Abstract: A memory network method based on automatic addressing and recursive information integration. The method is based on a memory neural network framework integrating automatic addressing and recursive information, and is an efficient and lightweight memory network method. A memory is read and written by means of an automatic addressing operation having low time and space complexity, and memory information is effectively utilized by a novel computing unit. The whole framework has the characteristics of high efficiency, high speed and high universality. The method is suitable for various time sequence processing tasks, and shows the performance superior to that of the conventional LSTM and the previous memory network.

Abstract: The present invention discloses a separation membrane based on a reactive support layer, a preparation method and an application, and belongs to the technical field of water treatment membranes. The preparation method includes: (1) subjecting a porous support membrane to an amino grafting reaction to prepare a reactive support membrane; and (2) subjecting an aqueous phase solution and an oil phase solution containing a multi-membered acyl chloride oil phase monomer to interfacial polymerization on the reactive support membrane to prepare a separation membrane based on a reactive support layer; where an aqueous phase monomer in the aqueous phase solution is a semi-aromatic amine or an aromatic amine. In the present invention, the porous support membrane is subjected to the amino grafting reaction to obtain the reactive support membrane, and the interface polymerization is carried out on a surface of the reactive support membrane.

Abstract: The application relates to the technical field of artificial intelligence, and provides a method, device, electronic equipment and storage medium for positioning macular center in fundus images. The method comprises: acquiring a detection result of the fundus image detection model, wherein the detection result includes an optic disc area, and a first detection block and a first confidence score corresponding to the optic disc area, and a macular area, and a second detection block and a second confidence score corresponding to the macular area; calculating a center point coordinate of the optic disc area according to the first detection block, and calculating a center point coordinate of the macular area according to the second detection block; identifying whether the to-be-detected fundus image is a left eye fundus image or a right eye fundus image, and correcting a center point of the macular area using different correction models.

Abstract: A point cloud attribute encoding method and apparatus, decoding method and apparatus are disclosed. The point cloud attribute encoding method includes: sorting point cloud data to be encoded to obtain sorted point cloud data; constructing a multilayer structure based on the sorted point cloud data and distances between the sorted point cloud data; obtaining an encoding mode corresponding to each of nodes in the multilayer structure. The encoding mode corresponding to each of the nodes is a direct encoding mode, a predictive encoding mode, or a transform encoding mode. The predictive encoding mode is to encode a node based on information of a neighboring node corresponding to the node. The transform encoding mode is to encode the node based on a transform matrix; and encoding point cloud attributes for each of the nodes based on the multilayer structure and the respective encoding mode.

Abstract: A transformer includes a core and a metal shield. The core includes a bottom plate, a middle leg protruding from the bottom plate, and a first outer leg and a second outer leg located opposite to each other along a first axis and protruding from the bottom plate on both sides of the middle leg. A width of a first opening, formed between the first outer end surface and the third outer end surface, along the first axis is smaller than a width of a second opening, formed between the second outer end surface and the fourth outer end surface, along the first axis.

Abstract: The present disclosure relates to an artificial intelligence field using a neural network, and publishes a method for confirming a cup-disc ratio based on a neural network, an apparatus, a computer device, and a computer readable storage medium. The method includes: obtaining a retinal image, and detecting an optical disc region in the retinal image to obtain the optical disc region; inputting the optical disc region into a pre-trained neural network to obtain a prediction cup-disc ratio and segment images of an optical cup and an optical disc; computing a cup-disc ratio based on the segment images of the optical cup and the optical disc; and confirming a practical cup-disc ratio based on the prediction cup-disc ratio and the computed cup-disc ratio.

Abstract: A carbon coated composite includes a core and a carbon coating layer coated outside the core. The density of the carbon coating layer is 1.0 g·cm?3??2?2.0 g·cm?3. The dissolution amount of a core characteristic element of the carbon coated composite is 100 ppm or less. The D50 of the material to be coated with carbon is 1-40 ?m. The particle size distribution span meets 0.5?(D90?D10)/D50?2. A specific surface area is 1-5 m2·g?1. A ratio of the specific surface area to the stacked pore volume is 0.5-2 cm?1. The increase of D50 of the composite after coating is 3 ?m or less. The shell of the carbon coated composite mitigates the volume change of the core. A complete and uniform carbon layer effectively disperses surface charges to form a more stable electric double layer structure.