Abstract: A heating assembly and an aerosol generation device are provided. The heating assembly includes a heating body. Several heat generation portions serve as a sidewall of the heating body. The several heat generation portions are connected end to end in sequence and at least partially spaced apart from each other. The several heat generation portions that are spaced apart from each other are configured to guide a current to flow along a preset path. The several heat generation portions cooperatively define an accommodating cavity for accommodating an inhalable material and for air circulation.

Abstract: The present invention “A Molecular marker Nicotine Associated SNP 1 for identifying high or nicotine content of tobacco and its kit as well as use thereof” belongs to field of molecular biology technology. The molecular marker Nicotine Associated SNP 1 is a SNP Nitab4.5_0002539:95304 A/G at base No. 95304 of Genomic segment No. 0002539 in tobacco genome version of Nitab v4.5 Genome Scaffolds Edwards2017. The present invention can accurately identify and screen tobacco germplasm resources with high or low nicotine content, and the screened tobacco can be directly used for breeding new tobacco varieties without transgenic methods. At the same time, gene sequence where the SNP site is located can also significantly activate promoters of key enzyme genes in nicotine synthesis pathway.

Abstract: The present disclosure provides an array substrate, a liquid crystal display panel and a liquid crystal display device, including: a base substrate; gate lines each extending in a first direction on the base substrate; data lines each extending in a second direction intersecting the first direction; pixel units located in regions defined by the gate lines and the data lines; each pixel unit has a first side and a second side each extending in the second direction and opposite to each other in the first direction; each pixel unit includes a first electrode including a plurality of strip-shaped 10 electrodes, at least part of the strip-shaped electrodes each have a first part and a second part extending in different directions, first parts are connected at the first side, second parts are disconnected at the second side, and lengths of the first part and the second part are different.

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.

Abstract: Provided are a point cloud attribute prediction method and prediction device based on a filter. The method comprises a coding method and a decoding method, and the device comprises a coding device and a decoding device. The method comprises: determining K nearest neighbor points of the current point; determining a filter matrix; and determining an attribute prediction value of the current point according to the filter matrix. Therefore, the compression performance of a point cloud attribute can be improved by means of selecting an appropriate filter.

Abstract: An attribute-based point cloud strip division method. The method comprises: first, performing spatial division of a certain depth on a point cloud to obtain a plurality of local point clouds; and then, sorting the attribute values in the local point clouds, and on the basis of such, further performing point cloud strip division so as to obtain point cloud strips that have low geometric overhead and a uniform number of points. By means of comprehensively using the spatial position and attribute information of the point clouds, the points having similar attributes and related spatial positions are gathered as much as possible in one strip during strip division, which is convenient for making full use of the redundancy of the attribute information between adjacent points, and improving the performance of point cloud attribute compression.

Abstract: A coil device includes a bobbin, a first coil provided to the bobbin, and a second coil provided outside the first coil. The first coil includes a first portion provided inside the second coil and a second portion next to the first portion and the second coil along a winding axis of the first portion. A first protrusion portion, a second protrusion portion, and a partition protrusion portion each protruding in a radial direction of the bobbin are formed on an outer peripheral surface of the bobbin.

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: A point cloud attribute prediction method and apparatus, a terminal and a storage medium are disclosed. The method includes obtaining target neighbor points corresponding to a target point by a first spatial distance, and determining an optimization weight corresponding to each target neighbor point respectively based on a second spatial distance, and finally determining an attribute prediction value corresponding to the target point based on each target neighbor point and optimization weight corresponding to each target neighbor point respectively. The present disclosure optimizes the weight corresponding to each target neighbor point respectively based on the spatial distance, which can improve the correlation between the geometry information and the attribute information of the point cloud, provide more accurate prediction values when performing point cloud attribute prediction, and thus improve the encoding and decoding performance of the point cloud attributes.

Abstract: The present disclosure provides a gas analysis device and a method for detecting sample gas. The gas analysis device includes: an ion mobility spectrometer including an ion mobility tube, an ion gate, a plurality of electrodes, a suppression grid, and a Faraday plate sequentially disposed in the ion mobility tube, wherein the Faraday plate is configured to receive sample ions discharged from the suppression grid, and the Faraday plate is provided with a through hole; a mass spectrometer; a gate valve disposed between the Faraday plate and an ion inlet of the mass spectrometer; and a controller configured to control an opening or closing of the gate valve to allow the sample ions discharged from the suppression grid to flow into the mass spectrometer through the through hole of the Faraday plate when the gate valve is opened.

Abstract: A coil device includes a bobbin, a first coil provided to the bobbin, and a second coil provided outside the first coil. The first coil includes a first portion provided inside the second coil and a second portion next to the first portion and the second coil along a winding axis of the first portion. A first protrusion portion, a second protrusion portion, and a partition protrusion portion each protruding in a radial direction of the bobbin are formed on an outer peripheral surface of the bobbin.

Abstract: A flat coil comprises a coil main portion having a flat shape; a lead portion drawn out from the coil main portion; and a heat-dissipating portion provided to the coil main portion at a location different from where the lead portion is drawn out from the coil main portion, the heat-dissipating portion meeting the coil main portion at a predetermined angle.

Abstract: A uroflowmetry system comprising: a receptacle for receiving urine; a plumbing unit for directing urine from the receptacle; flow-through fluid sensors for measuring urine flow; an output port from which urine exits the system; a data acquisition unit for receiving and collecting urine flow data from the flow-through fluid sensors; and a data processing and storage unit for processing and storing urine flow data received from the microcontroller.

Abstract: A level shift circuit comprises a pull-down circuit which includes a first sub-circuit and a second sub-circuit connected in series. A control end of the first sub-circuit is connected to a bias voltage. A first end of the first sub-circuit is connected to a high-voltage output end, and a second end is connected to a first end of the second sub-circuit. A second end of the second sub-circuit is connected to the ground and a control end provides a low-voltage input end. The voltage at the second end of the first sub-circuit changes with the bias voltage. The magnitude of the bias voltage is set such that the first sub-circuit is kept in a conducted state and the maximum voltage at the second end of the first sub-circuit is lower than or equal to the withstand voltage of the second sub-circuit.

Abstract: The present disclosure provides a method of positioning vertebra in a CT image, an apparatus, a computer device, and a computer readable storage medium. The method includes: pre-processing vertebra CT image data; inputting the pre-processed vertebra CT image data into a pre-trained neural network to obtain regression results of heat maps of key points corresponding to the pre-processed vertebra CT image data; regressing of 3D heat maps corresponding to the positions of the key points of the vertebra mass center based on the regression results of the heat maps of the key points and the pre-processed vertebra CT image data; serving 3D heat maps corresponding to the positions of the key points of the vertebra mass center as labels, and networked regressing 3D heat map information to position the vertebra. Effects caused by scanning machine difference and scanning noise are avoided, and the vertebra with complex forms is accurately positioned.