Abstract: The present invention provides a high-crystallinity barium titanate film structure, a method of preparation and an application thereof, and relates to the field of materials and devices. The method includes the steps of depositing, on a substrate, a barium titanate layer with a (001) or (111) crystal orientation by atomic layer deposition in a high vacuum environment and at a low temperature of 450° C. or below, wherein a Ba/Ti ratio in the barium titanate layer is 0.9-1.5; and performing plasma annealing treatment on the barium titanate layer at a low temperature of 450° C. or below without breaking vacuum to form a high-crystallinity barium titanate layer having the (001) or (111) crystal orientation. The film structure may further comprise top and bottom electrodes formed above and below the barium titanate layer. The present invention solves the problem that an existing method for obtaining a crystalline BTO film is not applicable to back-end of line (BEOL) integration processes.

Abstract: The present application relates to a novel benzoazepine compound, comprising a pharmaceutically acceptable salt thereof. The present application also provides a pharmaceutical composition comprising the compound and a pharmaceutically acceptable salt thereof. The present application relates to use of the compound and the composition in the prevention or treatment of diseases related to arginine vasopressin V1a receptor, arginine vasopressin V1b receptor, arginine vasopressin V2 receptor, sympathetic nervous system or renin-angiotensin-aldosterone system. The present application also provides a method for preventing and/or treating arginine vasopressin-related diseases.

Abstract: The present invention discloses a preparation process of multi-component spherical alloy powder, which adopts a plasma rotation electrode process (PREP) method to prepare the multi-component spherical alloy powder. The multi-component alloy includes at least one of refractory metals and compounds thereof, specifically including tungsten, molybdenum, tantalum, niobium, rhenium, tungsten carbide, tantalum carbide and the like.

Abstract: A transmission structure of a coreless tubular motor includes a motor main body, a motor connecting seat, a primary gear ring, a primary planetary gear assembly, a brake outer sleeve, a secondary planetary gear assembly and a tertiary planetary gear assembly; the motor main body is a coreless motor; a brake driving member and a brake driven member which are coaxially provided are provided in and pass through the brake outer sleeve; the brake driving member is connected to an output end of the primary planetary gear assembly, the brake driven member is connected to an input end of the secondary planetary gear assembly, the brake driving member is in transmission connection with the brake driven member, and a braking assembly connected to the brake driving member and the brake driven member is provided on the inner side of the brake outer sleeve in the circumferential direction.

Abstract: A federated learning method includes: each second device in a plurality of second devices first obtains data distribution information and sends the data distribution information to a first device. The first device receives the data distribution information from the plurality of second devices participating in federated learning. The first device selects a matched federated learning policy based on the data distribution information. The first device sends a parameter reporting policy corresponding to the federated learning to at least one second device in the plurality of second devices. A second device that receives the parameter reporting policy is configured to obtain second gain information based on the parameter reporting policy and a current training sample, and the second gain information is for obtaining a second model of the second device.

Abstract: The invention provides a three-way catalytic converter preheating control method and system, a vehicle and a storage medium. The includes when the temperature of an exhaust pipe of the hybrid electric vehicle is lower than a first temperature threshold value, sending a first work instruction; the high-low pressure conversion module outputting a first working voltage according to the first working instruction so as to start preheating of a catalyst in a three-way catalytic converter; when working data of the hybrid electric vehicle meets the switching condition, sending a second working instruction to make the high-low voltage conversion module outputs a second working voltage and stops outputting the first working voltage so as to stop the electric heating. According to the invention, two working modes can be provided, and the power battery can be used for electrically heating the catalyst in advance through the high-low pressure conversion module.

Abstract: A sample data annotation system includes an edge node and a central node. The edge node obtains a key feature of sample data, determines, based on the key feature, whether the sample data is unknown sample data, when the sample data is unknown sample data, performs annotation processing on the sample data to obtain a first annotation result, and sends the first annotation result to the central node. The central node receives the first annotation result, and determines whether the first annotation result indicates successful annotation; and when the first annotation result indicates that the unknown sample data is successfully annotated, performs consistency processing on the first annotation result to obtain a second annotation result, or when the annotation result indicates that the unknown sample data fails to be annotated, performs annotation processing on the unknown sample data to obtain a third annotation result.

Abstract: A method, an apparatus, and a computing device for constructing a prediction model, and a storage medium are disclosed, and relate to the field of artificial intelligence technologies. The method includes: obtaining, based on a target dataset of a target prediction scenario and/or scenario information of the target prediction scenario, model search space corresponding to the target prediction scenario; performing model training based on the target dataset and models and hyperparameters that are included in the model search space, to obtain trained prediction models; and obtaining, based on evaluation results of the trained prediction models, a prediction model corresponding to the target prediction scenario. Efficiency of constructing the prediction model can be improved.

Abstract: In the field of Hepatitis B virus (HBV) detection, disclosed are a method for detecting HBcAg by means of using a double antibody sandwich method, and an antibody and kit for detecting HBcAg; also included is a monoclonal antibody that can be used in the immunological detection of HBcAg in a tissue or cell sample.

Abstract: A modeling method and an apparatus are disclosed. The method includes: obtaining a first data set of a first indicator, and determining, based on the first data set, a second indicator similar to the first indicator; and determining a first model based on one or more second models associated with the second indicator. The first model is used to detect a status of the first indicator, and the status of the first indicator includes an abnormal state or a normal state. The second models are used to detect a status of the second indicator, and the status of the second indicator includes an abnormal state or a normal state.

Abstract: A kit for quantitatively detecting HBsAg and a method for quantitatively detecting an HBsAg content in a sample containing HBsAg. The kit comprises a first antibody specifically binding to HBsAg and a reagent composition. The reagent composition comprises tris(2-carboxyethyl)phosphine hydrochloride (TCEP) and urea.

Abstract: A model update system, which may be applied to the network control field, includes a site analysis device and a first analysis device. The site analysis device is configured to: receive a first model sent by the first analysis device; train the first model by using a first training sample to obtain a second model, where the first training sample includes first feature data of a network device in a site network corresponding to the site analysis device; obtain differential data between the first model and the second model; and send the differential data to the first analysis device. The first analysis device is configured to: send the first model to the site analysis device; receive the differential data sent by the site analysis device; and update the first model based on the differential data to obtain a third model.

Abstract: A transmission structure of a coreless tubular motor includes a motor main body, a motor connecting seat, a primary gear ring, a primary planetary gear assembly, a brake outer sleeve, a secondary planetary gear assembly and a tertiary planetary gear assembly; the motor main body is a coreless motor; a brake driving member and a brake driven member which are coaxially provided are provided in and pass through the brake outer sleeve; the brake driving member is connected to an output end of the primary planetary gear assembly, the brake driven member is connected to an input end of the secondary planetary gear assembly, the brake driving member is in transmission connection with the brake driven member, and a braking assembly connected to the brake driving member and the brake driven member is provided on the inner side of the brake outer sleeve in the circumferential direction.

Abstract: A tubular motor assembly using a coreless motor structure is provided includes: a steel tube body and a coreless motor, wherein one end of a motor main body is inserted at one end of a battery circuit board housing; a control circuit board and/or a power supply battery is provided within the battery circuit board housing; the other end of the motor main body is connected to a primary gear ring; a motor shaft of the motor main body is connected to a primary planetary gear assembly; the other end of the primary gear assembly is connected to a secondary/tertiary gear ring through a brake outer sleeve; the primary planetary gear assembly is connected to a secondary planetary gear assembly through a brake structure; and a tertiary planetary gear assembly is connected to an output shaft.

Abstract: A label determining method includes: obtaining a target feature vector of a first time series, where a time series is a set of a group of data arranged in a time sequence; obtaining a similarity between the target feature vector and a reference feature vector in a reference feature vector set, where the reference feature vector is a feature vector of a second time series with a determined label; and when a similarity between the target feature vector and a first reference feature vector is greater than a similarity threshold, determining that a label corresponding to the first reference feature vector is a label of the first time series, where the first reference feature vector is a reference feature vector in the reference feature vector set.

Abstract: The present invention belongs to the field of biomedical laboratory science, and provides a specific antibody for AMH and uses thereof.

Abstract: A method and an apparatus for implementing model training, and a computer storage medium are disclosed, and belong to the field of machine learning. When a machine learning model deteriorates, an analysis device first obtains validity information of a first feature set, where the first feature set includes a plurality of features used for training to obtain the machine learning model, the validity information includes a validity score of each feature in the first feature set, and a validity score of a feature is negatively related to correlation of the feature with another feature in the first feature set. Then an invalid feature in the first feature set is determined based on the validity information. A second feature set that does not include the invalid feature is finally generated, where the second feature set is used to retrain the machine learning model.

Abstract: Ultra-pure methyl vinyl ether-co-maleic anhydride (PMVE/MA) copolymers and the process to produce such ultra-pure polymers by removing trace impurities are provided. A process to provide an ultra-pure methyl vinyl ether-co-maleic anhydride material by solvent washing PMVE/MA copolymer with a solvent, comprises the steps of: (1) providing a solvent system in which impurities in the copolymer matrix are soluble and in which the PMVE/MA copolymer is not soluble, and wherein the solvent system does not react with the copolymer; (2) washing a dry powder or wet filter cake of PMVE/MA copolymer with the solvent system to efficiently and effectively extract trace impurities from the matrix; (3) filtering said copolymer from the solvent system; and (4) drying the subsequent wet filter cake of said copolymer to obtain an ultra-pure methyl vinyl ether-co-maleic anhydride copolymer.

Abstract: The invention provides a kit for full-range detection of C-reactive protein based on chemiluminescence immunoassay and a method for full-range detection of C-reactive protein. The kit comprises an R1 reagent, an M reagent, an R2 reagent, a pre-excitation solution and an excitation solution. The R1 reagent, that is a sample treatment solution, is a 0.5M citric acid solution (pH 3.0-3.5, which is adjusted by disodium hydrogen phosphate dodecahydrate). The present invention also provides a kit for full-range detection of C-reactive protein, which comprises a flat-bottomed plate-type chemiluminescence plate coated with a first antibody, a sample treatment solution, a second antibody labeled with horseradish peroxidase (HRP) or alkaline phosphatase (AP), a color developing solution. The invention also provides a method for full-range detection of C-reactive protein using the kit. Both the first antibody and the second antibody are monoclonal antibodies that can specifically react with C-reactive protein.

Abstract: A kit for quantitatively detecting HBsAg and a method for quantitatively detecting an HBsAg content in a sample containing HBsAg. The kit comprises a first antibody specifically binding to HBsAg and a reagent composition. The reagent composition comprises tris(2-carboxyethyl)phosphine hydrochloride (TCEP) and urea.