Abstract: An indoline compound. Specifically disclosed is an application of a compound represented by formula (I) and pharmaceutically acceptable salts thereof in the preparation of drugs for treating related diseases.

Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: A sampling device and method for evaluating ecological risk of soil in a high geological background area comprises an impact sampling mechanism, a soil layer stripping mechanism and an auxiliary support frame. The impact sampling mechanism comprises a sampling hopper with a downward opening. A connecting sliding rod is fixedly arranged on the top of the sampling hopper. An upper end of the connecting sliding rod is connected with an impact rod. The impact rod is internally provided with an impact hammer capable of reciprocating along an axis of the impact rod. The soil layer stripping mechanism comprises a stripping sliding cylinder in sliding fit with the connecting sliding rod, and a support disc. A plurality of stripping plates are connected to a lower side edge of the support disc in a sliding fit mode.

Abstract: A method and apparatus for measuring the actual area of a defect, and a method and apparatus for testing a display panel. The method for measuring the actual area of a defect includes: acquiring a measurement image of a display panel, wherein the measurement image has a defect region; according to the measurement image, determining the area of defect pixels of the defect in the measurement image and determining the size of reference object pixels of a reference object in the measurement image; and according to the area of the defect pixels, the size of the reference object pixels and the actual size of the reference object, determining the actual area of the defect in the display panel.

Abstract: A method and a device for processing product manufacturing messages, and an electronic device are disclosed. The method for processing product manufacturing messages includes: monitoring a plurality of product manufacturing messages; establishing a product defect analysis task queue based on the plurality of product manufacturing messages; distributing product defect analysis tasks to product manufacturing assisting devices based on the product defect analysis task queue, wherein the product defect analysis tasks include a task of identifying product defect content based on a defect identification model; wherein the product defect content includes any one or more of: product defect type, product defect location, and product defect size.

Abstract: The present disclosure relates to a task processing method and device based on defect detection, a computer readable storage medium, and a task processing apparatus . The method includes receiving a detection task; determining a task type of the detection task; storing the detection task in a task queue if the task type is a target task type; and executing the detection task in a preset order and generating a feedback signal when a processor is idle. The detection task of the target task type includes an inference task and a training task. Executing the training task includes modifying configuration information according to a preset rule based on product information in the detection task; acquiring training data and an initial model according to the product information; and using the training data to train the initial model according to the configuration information to obtain a target model and store it in memory.

Abstract: A recommendation reason generation method is disclosed in the present disclosure, including: obtaining, according to search data of a target user, at least one recalled result for the search data; and obtaining a recommendation reason of each recalled result by using a preset intelligent question answering model according to the search data, the at least one recalled result, and a target user profile of the target user. The intelligent question answering model is a first machine learning model obtained through training according to at least one sample question answering data combination, and the sample question answering data combination includes: a sample user profile and historical comment data of at least one sample user, a recommendation object corresponding to the historical comment data, and historical search data of the sample user for the recommendation object.

Abstract: The present disclosure relates to an image data classification method, device and system, and relates to the field of computer technology.

Abstract: An inference computing apparatus comprises at least one processor and a memory with program instructions stored therein, the program instructions can be executed by the at least one processor to cause the inference computing apparatus to perform the following operations: receiving a first inference model from a model training apparatus, the first inference model being obtained through a model training by the model training apparatus based on a first training sample library, the first training sample library comprising training samples from historical data generated in a manufacturing stage; performing an inference computing on data to be processed generated in the manufacturing stage based on the first inference model to obtain the inference result which is sent to a user-side device; and evaluating performance of the first inference model to determine whether the first inference model needs to be updated, and if yes, updating the first inference model.

Abstract: Embodiments of this application relate to the database field, and in particular, to a method for accessing a distributed database, including: receiving a first access request sent by an application server, where the first access request includes a table name of a first data table and a key value of the first data table; finding, according to the table name of the first data table, that the first data table is a replication table and a first access rule corresponding to the replication table, where the replication table is a same data table stored in multiple database servers; determining a database server that is corresponding to the key value and in the first access rule as a first database server that is preferentially accessed; and sending the first access request to the first database server. Therefore, distributed database access performance is greatly improved.