Abstract: The present disclosure relates to a method for analyzing a geological body with the help of physical and chemical properties thereof, and in particular, to a method for identifying an exudative sandstone uranium deposit. With the method for identifying an exudative sandstone uranium deposit according to the embodiments of the present disclosure, an exudative sandstone uranium deposit formed by an exudation metallogenesis may be systematically identified, so as to guide prediction and prospecting evaluation of a uranium deposit in red variegated sandstone formations of a sedimentary basin, avoid ore dislocation and ore leakage, open up new prospecting positions and spaces, and break through new uranium resources.

Abstract: An intelligent production line for motor pulley, include a processing mechanism; a feeding mechanism; a grasping mechanism; a detection mechanism, including a photographing device, a light source, a positioning block, and an image processing unit, the positioning block is used to place the pulley to be detected, the light source is used to illuminate the pulley to be detected, and the photographing device is arranged in the backlight direction of the light source, the image processing unit is used for acquiring the workpiece image of the pulley to be detected through the photographing device and detecting the workpiece parameters of the pulley to be detected through the workpiece image; a feedback mechanism, which communicates and connects the detection mechanism and the processing mechanism, and is used for acquiring the workpiece parameters and adjusting the processing parameters of the processing mechanism according to the parameters.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and storage medium for dynamic comment controlling. The method comprises: playing a target video with an interactable interface element, wherein the interactable interface element contains a first input control and a second input control; and during the playing of the target video, controlling a first dynamic comment to display based on first display information and a second dynamic comment to display based on second display information in a dynamic comment display region, wherein the first dynamic comment is generated by triggering the first input control, and the second dynamic comment is generated by triggering the second input control, and wherein the first display information is different from the second display information.

Abstract: A laser transfer printing device and a laser transfer printing method are provided. The laser transfer printing device includes a laser, a beam expander, a beam splitter and a focusing module. The laser is configured to generate a laser beam. The beam expander is disposed on an optical path of the laser beam generated by the laser to expand the laser beam generated by the laser. The beam splitter is disposed on an optical path of the laser beam expanded by the beam expander to reflect the expanded laser beam to the focusing module. The focusing module is disposed on an optical path of the laser beam reflected by the beam splitter to focus the laser beam and project the focused laser beam to a predetermined transfer processing position.

Abstract: The present disclosure provides a method and apparatus for determining an application service dependency, and a processor. The method includes that: an input pulse of first application service and an output pulse of second application service are acquired; a time interval between the input pulse and the output pulse is determined; and an application service dependency between the first application service and the second application service is determined based on the time interval. According to the present disclosure, a technical problem that an application service dependency between different pieces of application service cannot be determined accurately through a method for determining an application service dependency provided in the related art is solved.

Abstract: A method for preparing ultra-thin flexible glass includes: extraction of biomimetic weathering enzyme, preparation of solution of biomimetic weathering enzyme glass thinning agent, and glass thinning. Extraction includes: dissolving a plant raw material of biomimetic weathering enzyme, adjusting pH, increasing stability of the solution, boiling and holding at a constant temperature, and filtering to obtain a first solution; adjusting pH of the first solution, precipitating and filtering to obtain a first precipitate; and then adjusting pH of the first precipitate, precipitating and filtering to obtain a second precipitate, and drying the second precipitate to obtain the biomimetic weathering enzyme in solid form. Preparation includes: adding 7-20 weight parts of water, 0.1-2 weight parts of stabilizer, 0.1-1 weight parts of pH regulator C, and 0.

Abstract: An apparatus: obtains K downlink channel weight matrices based on K pieces of downlink channel information sent by K UEs, where the downlink channel information is fed back by the UE in response to a preset reference signal sent by the base station, the downlink channel weight matrix is an NT×rank-dimensional matrix, and rank is a quantity of signal streams received by the UE; obtains K×rank first initial phase difference matrices and K×rank second initial phase difference matrices based on the K downlink channel weight matrices and a first polarization direction and a second polarization direction of transmit channels of the base station; obtains a cell initial phase difference matrix based on the K×rank first initial phase difference matrices and the K×rank second initial phase difference matrices; and implements initial phase correction of the transmit channels based on the cell initial phase difference matrix.

Abstract: Processing within a computing environment is facilitated by using a machine learning implicit-anomaly model to determine a possibility of an implicit anomaly within a system based on system metrics data obtained during running of one or more test cases on the system. The process further includes determining, using artificial intelligence, occurrence of an incident within the system associated with running of the one or more test cases. Determining the occurrence of the incident uses the determined possibility of the implicit anomaly within the system based on the system metrics data, and the process further includes initiating an action based on the occurrence of the incident within the system with running of the one or more test cases.

Abstract: Disclosed embodiments provide techniques for dynamic data collection. The dynamic data collection includes determining a data generation temporal pattern. Based on the data generation temporal pattern, a data collection strategy is created. The data collection strategy can be based on one or more data collection goals. The data collection strategy can contain specific details on how data is to be collected. A data infrastructure evaluation is performed, which provides pricing models for resources such as electricity and/or network bandwidth. A data collection policy is created based on the data collection strategy and the data infrastructure evaluation. The data collection policy can contain specific details on when data is to be collected and what strategy to use for the collection. A data transfer schedule is created based on the data collection policy. The data transfer schedule determines when to collect data from one or more data source devices.

Abstract: A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.

Abstract: Input data is received from an analysis of an application running in a real-world environment. The input data identifies one or more parameters that are associated with one or more test scripts that are used to test a new version of the application running in the real-world environment. One or more inputs are received that map the received input data to the one or more test scripts. The one or more test scripts are used to test the new version of the application. The one or more tests scripts are executed against the new version of the application based on the one or more parameters.

Abstract: The present disclosure provides a medical data verification method, apparatus and an electronic device, related to a field of artificial intelligence technologies, such as AI (artificial intelligence) medical treatment, deep learning, knowledge graphs, natural language processing. A specific implementation is: obtaining medical data to be verified and a candidate document; obtaining feature vectors respectively corresponding to the medical data to be verified and the candidate document by processing the medical data to be verified and the candidate document by using a nature language processing model; obtaining N correlation vectors by calculating correlation between the medical data to be verified and the candidate document based on the feature vectors by using N methods, N being a positive integer greater than 1; and determining a confidence degree of the medical data to be verified to the candidate document by performing fusion calculation on the N correlation vectors.

Abstract: A method and apparatus for processing a table, a device, a storage medium and a product. An implementation of the method comprise: receiving a content query request for a target table; acquiring a target tree structure of the target table according to the content query request; where, the target tree structure is obtained by performing absorbing processing and merging processing on at least one target cell in the target table; acquiring to-be-queried content in the content query request; and querying target content matching the to-be-queried content from the target tree structure.

Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.

Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.

Abstract: Disclosed are an information extraction method, an electronic device and a readable storage medium, which relate to the field of artificial intelligence technologies, and particularly to the field of knowledge graph technologies. The information extraction method includes: acquiring to-be-processed text to obtain a semantic vector of each token in the to-be-processed text; generating a relationship prediction matrix, an entity prediction matrix and an alignment matrix according to each token in the to-be-processed text and the semantic vector of each token; and extracting a target triplet in the to-be-processed text using the relationship prediction matrix, the entity prediction matrix and the alignment matrix, and taking the target triplet as an information extraction result of the to-be-processed text.

Abstract: The present disclosure relates to the field of medical data processing based on natural language processing. Embodiments of the present disclosure disclose a method and apparatus for verifying a medical fact. The method may include: acquiring a description text of the medical fact; selecting a relevant paragraph related to the description text of the medical fact from a medical document; and inputting the description text of the medical fact and the corresponding relevant paragraph into a trained discrimination model for authenticity judgment, to obtain a verification result of the medical fact, the discrimination model being pre-trained based on a medical text paragraph pair extracted from the medical document, and being iteratively adjusted using a medical fact sample set including authenticity labeling information after the pre-training.

Abstract: A computer-implemented method for sample augmentation includes: acquiring a second sample corpus and second triplet information of the second sample corpus by performing data augmentation on a first sample corpus labeled with first triplet information; acquiring third triplet information of a third sample corpus by performing semi-supervised learning on the third sample corpus that is not labeled with triplet information; and generating a set of training corpora for a triplet information extraction network based on the first sample corpus and the first triplet information, the second sample corpus and the second triplet information, and the third sample corpus and the third triplet information.

Abstract: A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.

Abstract: An intelligent production line for motor pulley, include a processing mechanism; a feeding mechanism; a grasping mechanism; a detection mechanism, including a photographing device, a light source, a positioning block, and an image processing unit, the positioning block is used to place the pulley to be detected, the light source is used to illuminate the pulley to be detected, and the photographing device is arranged in the backlight direction of the light source, the image processing unit is used for acquiring the workpiece image of the pulley to be detected through the photographing device and detecting the workpiece parameters of the pulley to be detected through the workpiece image; a feedback mechanism, which communicates and connects the detection mechanism and the processing mechanism, and is used for acquiring the workpiece parameters and adjusting the processing parameters of the processing mechanism according to the parameters.