Abstract: A refrigerator includes a box body, inner container of which defines a storage compartment therein; and a water storage device arranged in the storage compartment and comprising a pot body and a pot lid; the port body being configured to store water; the pot lid being arranged at the top of the pot body and configured to open and close the pot body; wherein the pot lid and the inner container detachably connected with each other. According to the refrigerator, the water storage device only takes up a small space inside the refrigerator and has no impact on a door body of the refrigerator. Meanwhile, the pot lid is detachably connected with the inner container, such that the water storage device not in need can be wholly removed from the refrigerator, which enlarges the internal space of the refrigerator.

Abstract: Embodiments of the present disclosure relate to semantic parsing for short text. According to embodiments of the present disclosure, a method is proposed. The method comprises: obtaining a set of sentences associated with a short text, each of the set of sentences containing all of words in the short text; determining a set of syntactic features associated with the set of sentences, each of the set of syntactic features indicating at least one of a constituency relation and a dependency relation of the corresponding sentence; and determining a semantic structure of the short text based on the set of syntactic features.

Abstract: A method for reconstructing dynamic contrast-enhanced (DCE) MR images includes receiving a plurality of continuous free-breathing DCE images, the plurality of images obtained with a contrast, sorting the images by identifying a respiratory phase associated with each of the continuous free-breathing DCE images, reconstructing the plurality continuous free-breathing DCE images into a 4D respiratory motion-resolved image, obtaining 3D deformable motion vector fields (MVFs), and utilizing a deep learning based motion transformation integrated forward-Fourier (DL-MOTIF) model and the 3D deformable MVFs to reconstruct the DCE MR images.

Abstract: A bidirectional energy storage device for a joint includes: a sleeve comprising two, opposite open ends; a first sliding member and a second sliding member that are slidably disposed at the open ends of the sleeve, respectively; an elastic member comprising two, opposite ends that are respectively in contact with the first sliding member and the second sliding member; a first telescopic link comprising a first end and an opposite, second end, the first end of the first telescopic link pivotally connected to the first sliding member, the first telescopic link configured to rotate to drive the first sliding member to slide; a second telescopic link comprising a first end and an opposite, second end, the first end of the second telescopic link pivotally connected to the second sliding member, the second telescopic link configured to rotate to drive the second sliding member to slide.

Abstract: The present disclosure relates to a turntable assembly and an engineering mechanical equipment. A turntable assembly for an engineering mechanical equipment includes: a turntable body; a first rotating mechanism connected to the turntable body and configured to cause the turntable body to rotate relative to an undercarriage of the engineering mechanical equipment; and a second rotating mechanism connected to the turntable body and configured to cause an upper work device of the engineering mechanical equipment to rotate relative to the turntable body. An axis of rotation of the first rotating mechanism is not co-linear with an axis of rotation of the second rotating mechanism. The second rotating mechanism includes a rotating body for connecting the upper work device. At least two hinge points arranged spaced apart along the axis of rotation of the second rotating mechanism are provided between the rotating body and the turntable body.

Abstract: The present application relates to a model training method and an apparatus. The model training method includes: processing a text in a corpus to obtain a plurality of samples, where the plurality of samples includes a plurality of positive samples and a plurality of negative samples; building a plurality batches of training sets; inputting each batch of training set into a model for training, and obtaining a category of each sample in each batch of training set; and obtaining an overall loss value according to label information and the category corresponding to each sample, a sample quantity and an overall loss function in each batch of training set, and adjusting the model according to the overall loss value to obtain a trained model.

Abstract: The present disclosure provides a preparation method of manganese hydroxide, including subjecting a coarse manganese metal powder and water to a reaction under temperature-rising condition to obtain a manganese hydroxide slurry; oxidizing the manganese hydroxide slurry to obtain high-purity trimanganese tetraoxide; reducing the high-purity trimanganese tetraoxide to obtain high-purity manganese monoxide, allowing the manganese hydroxide slurry and carbon dioxide to have a reaction to obtain high-purity manganese carbonate; roasting the high-purity manganese carbonate to obtain the high-purity manganese monoxide. In the present disclosure, the preparation method maintains a purity advantage of electrolytic manganese metal products, can reduce energy consumption, achieve safe and clean production, and avoid environmental problems.

Abstract: Provided is a camera optical lens, including first lens having negative refractive power, second lens having positive refractive power, third lens having positive refractive power, and fourth lens having negative refractive power, focal length of the camera optical lens is f, focal length of the first lens is f1, combined focal length of the third and fourth lenses is f34, on-axis thickness of the first lens is d1, on-axis distance between the first and second lenses is d2, total optical length of the camera optical lens is TTL, abbe number of the first lens is v1, following relational expressions are satisfied: ?30.00?f1/d1??8.00; 2.00?TTL/f?3.00; ?2.30?f34/f<?1.30; 58.00?v1?82.00; 0.25?d2/TTL?0.45. The camera optical lens has good optical performance, and is particularly suitable for mobile phone camera lens assembly, vehicle-mounted lens and WEB camera lens.

Abstract: A preparation method for a microwave dielectric resonator with a laminated structure is provided. The laminated structure of the microwave dielectric resonator is a three-layer structure of the top, middle, and bottom layers. A composition expression of the microwave dielectric resonator is y·ZnTi0.95Sc0.05Nb2O8-x·TiO2-y·ZnTi0.95Sc0.05Nb2O8, and a range of x is 0.03-0.05 grams, and y is (1-x)/2 grams. The microwave dielectric resonator has good temperature stability while maintaining a moderate dielectric constant and a higher quality factor Qf.

Abstract: A question-mining method includes obtaining a pre-built standard question database, where the standard question database includes a first standard question text, the first standard question text corresponds to a first intent category, and the first standard question text comprises a plurality of words; mining keywords of the first intent category from the plurality of words according to an importance degree of each word of the first standard question text to the first intent category, wherein the plurality of words include the keywords and non-keywords; determining a co-occurrence word of the keywords according to co-occurrence information of the keywords and the non-keywords in the standard question database; and mining a target question text from a pre-obtained target text set according to the co-occurrence word of the keywords.

Abstract: This application relates to communication technologies, and provides a channel key-based encryption method and an apparatus, to resolve a problem that a terminal cannot avoid an attack from a false base station before a security mode is enabled, and a security risk. The method includes: A network device broadcasts a system information block, indicating that channel key generation is supported, where the system information block includes a preamble and a resource configuration of a physical random access channel; receives, on the physical random access channel, a first message from a user equipment, where the first message includes the preamble; sends a second message to the user equipment, where the second message includes configuration information of a first time-frequency resource; receives, on the first time-frequency resource, a third message from the user equipment; and performs channel measurement based on the third message, to obtain a channel key.

Abstract: A method, apparatus, device, and medium for generating instruction data is provided. The method includes: obtaining a natural language-based reference instruction to direct a large model to generate response data meeting multiple first requirements; obtaining a structured disassembly result of the reference instruction to derive several reference slots and slot values corresponding to these requirements; determining multiple sample slots and sample slot values based on the reference slots, slot values, and a predetermined rule; and generating a natural language-based sample instruction from these sample slots and values, which directs the large model to generate response data that fulfills multiple second requirements.

Abstract: An operator processing method of a deep learning framework an electronic device, and a storage medium are provided, which relate to a field of computer technology, especially in a field of artificial intelligence technology such as deep learning. The specific implementation scheme includes: acquiring an operator to be processed, where the operator to be processed includes a template parameter independent of the deep learning framework and an operator kernel function; parsing, in response to receiving an input information for the operator to be processed, the template parameter by using the input information to obtain a plurality of complete template parameters related to the deep learning framework; and processing the operator kernel function according to the plurality of complete template parameters, to obtain an available operator for the deep learning framework.

Abstract: An easy-to-clean separable purification core for an air purifier includes an inner cavity lining body, a collector module and a repeller module that are detachably inserted one in the other. The collector module includes a first collector cell and a second collector cell that are nested from top to bottom and are detachable with respect to each other, the two collector cells match each other in shape and dimension size and are respectively provided with collector pieces parallel to each other, and the spacing between two adjacent collector pieces in each collector cell is four times of an original spacing. In an assembly state of the purification core, the collector module, the repeller module, and the inner cavity lining body are nested one in another to form an integral component.

Abstract: Chemical foaming agents having p-toluenesulfonyl groups. Processes for preparing foamed polyolefin compositions using chemical foaming agents having p-toluenesulfonyl groups. Articles of manufacture containing formed polyolefins prepared using chemical foaming agents having p-toluenesulfonyl groups.

Abstract: Embodiments of the present disclosure are directed to a polymeric composition comprising the cross-linked reaction product of an ionomer and a silane crosslinking agent. The ionomer may include an E/X/Y polymer where E is an ethylene monomer, X is ?,?-ethylenically unsaturated carboxylic acid comonomer having 3 to 8 carbons, or its ester, and Y is alkyl acrylate or dicarboxylic acid comonomer. The ionomer comprises from 1 to 30 wt. % of X and from 0 to 40 wt. % of Y. At least a portion of the carboxyl groups of X and optionally Y are neutralized with a metal cation. The silane crosslinking agent has a formula Z((CH2)aSi(OR)b)c. Z is a mono-functional reactive group, R is an alkyl group having 1 to 4 carbon atoms or a hydrogen atom, a is from 1 to 4, b is 3, and c is from 1 to 2.

Abstract: The present application provides a data processing method, a category identification method and a computer device, in which, firstly, node information is screened out based on node edge data and feature information, that is, K first nodes with rich structures and high feature discrimination are located, and then a feature similarity is calculated based on relevant information of the first nodes. On the other hand, since a calculation amount of the feature similarity of the node is relatively small, for a case that model training and prediction of node category are completed at the same time, a second node can include a node to be classified, and a model parameter used in category prediction is obtained by performing parameter iterative updating with taking the node to be classified as an unlabeled node.

Abstract: According to an image processing method and system for improving three-dimensional display effect of blood vessels provided by the present invention, the image processing method comprises the following steps: design an interpolation algorithm to preprocess the original data to obtain a preprocessed image based on the original image volume data before projection; determine the blood vessel trend according to the preprocessed image, eliminate isolated points, and perform image smoothing processing on the blood vessel trend to obtain a smooth image; and process the smooth image by a nonlinear change method to perform nonlinear enhanced display of blood vessels and suppress the background. And improve the display effect of blood vessel signals.

Abstract: Embodiments of the present disclosure provide a quantitative method and system for attention based on a line-of-sight estimation neural network, which improves the stability and training efficiency of the line-of-sight estimation neural network. A few-sample learning method is applied to training of the line-of-sight estimation neural network, which improves generalization performance of the line-of-sight estimation neural network. A nonlinear division method for small intervals of angles of the line of sight is provided, which reduces an estimation error of the line-of-sight estimation neural network. Eye opening and closing detection is added to avoid the line-of-sight estimation error caused by an eye closing state. A method for solving a landing point of the line of sight is provided, which has high environmental adaptability and can be quickly used in actual deployment.