Abstract: A method includes receiving a natural language problem statement corresponding to application modernization needs of a user, the natural language problem statement including at least one technical entity, business constraint and disposition information; providing structured information by extracting information from the natural language problem statement using a neural word segmentation method; generating standardized technical entities, standardized business entities, and standardized dispositions by inputting the structured information to at least one machine learning model; and generating at least one recommended disposition of at least one technical entity to a second technical entity based at least on a business constraint corresponding to the natural language problem statement using the standardized technical entities, business entities, and dispositions.

Abstract: A molecular marker for diagnosing primary biliary cholangitis and a method for detecting same are provided. The anti-human multimer immunoglobulin receptor antibody is adopted as the primary biliary cholangitis diagnosis molecular marker so as to prepare the diagnosis reagent; the human multimer immunoglobulin receptor antibody is remarkably increased in serum of PBC AMA-M2 subtype positive and negative patients, which indicates that in the attack of PBC, the serum anti-human multimer immunoglobulin receptor antibody specifically targets human multimer immunoglobulin receptors on small and medium bile ducts in the liver, thereby causing damage to the small and medium bile ducts.

Abstract: A bismuth-doped bismuth phosphate photoelectrode modified by titanium carbide and a preparation method are provided. A first chitosan coating and a second chitosan coating both show electropositivity, and a two-dimensional Ti3C2 coating shows electronegativity, wherein the bismuth-doped bismuth phosphate photoelectrode modified by two-dimensional Ti3C2 is prepared by an electrostatic self-assembly method. The method is efficient, environment friendly and has simple operation steps; no precious metals are doped in reactions, and no pollutants are produced in reaction processes to meet a requirement of environmental protection; and the method has positive significance for putting the bismuth-doped bismuth phosphate photoelectrode modified by the titanium carbide into actual production. The bismuth-doped bismuth phosphate photoelectrode enhances synergistic effect of electrons and delays recombination time of photo-induced electrons and hole pairs.

Abstract: A method, apparatus and non-transitory computer readable storage medium for driving evaluation are provided. The method includes: collecting a set of performance events during conduction of one or more driving tasks; calculating, based on the collected set of performance events and respective weights for the performance events contained in the collected set of performance events, an aggregated performance indicator.

Abstract: A dummy dual in-line memory module (DIMM) testing system based on boundary scan interconnect and a method thereof. A dummy dual in-line memory module functioning normally is used as a test fixture, a dummy dual in-line memory module under test is served as an unit under test (UUT), and the test fixture and the unit under test are inserted into a test device to electrically connect to each other, so that the test access port (TAP) device can perform boundary scan to control the test fixture to test the unit under test through signal pins, and check a test result based on a data signal collected from at least one boundary scan register. Therefore, the effect of improving testing convenience of the dummy DIMM can be achieved.

Abstract: A micro-metering device with a constant flow rate, including a rotary shear valve, a mounting seat, a rotation drive assembly, an injection drive assembly and a controller. The rotary shear valve includes a valve main body and a valve spool. The valve main body is provided with a main flow channel and a plurality of branch flow channels. The valve spool is rotatably arranged inside the valve main body, and is configured to communicate the main flow channel with different branch flow channels. A pressure sensor is provided inside the valve main body, and is communicated with the main flow channel. The pressure sensor is configured for detecting a pressure inside the main flow channel. Whether the switching of the liquid path is correct is determined according to the pressure in the main flow channel.

Abstract: A logistics transport box is provided, and it relates to the technical field of packaging boxes. The logistics transport box includes a box body, a placement assembly, and an installation assembly. The installation assembly includes support components and sliding vibration-damping components. The support components include sliding rails vertically disposed at four inner corners of the box body. The sliding vibration-damping components include upper sliding blocks, lower sliding blocks, upper fixing blocks, and lower fixing blocks. A spring piece is disposed between each of the sliding blocks and a corresponding one of the fixing blocks. The placement assembly includes covering components and connecting components, the covering components include an upper film and a lower film which are oppositely disposed.

Abstract: Disclosed is a vehicle positioning method and apparatus, a storage medium and an electronic device. The method comprises: prelocating a target vehicle in a running state based on a global positioning system to obtain a priori position of the target vehicle in a map; acquiring running image data collected by a camera sensor in the target vehicle in a target area where the priori position is located; visually recognizing the running image data by using a vector map of the target area, so as to acquire lateral position information and longitudinal position information about a position where the target vehicle is located currently; determining a target lane in which a target vehicle is located according to the transverse position information, and positioning a travel position of the target vehicle in the target lane according to the longitudinal position information.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: The present invention relates to the field of bio-pharmaceuticals and provides an anti-CLDN18.2 antibody. Related preparation methods and related uses are described. The antibody of the present invention or related an antigen-binding fragment can specifically bind to CLDN18.2 with a strong binding capacity. After humanization, the antibody or the antigen-binding fragment has a strong ADCC effect and CDC activity and has good pharmaceutical prospects.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate modernization of an application are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines one or more relevant surrounding contexts for a raw entity. The computer executable components also can comprise a matching component that matches the one or more relevant surrounding contexts with one or more known surrounding contexts of one or more known entities. The computer executable components further can comprise a type identification component that identifies an entity type for the raw entity based on the matching of the one or more relevant surrounding contexts with the one or more known surrounding contexts.

Abstract: Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.

Abstract: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.

Abstract: A technique relates to natural language automation to implement service requests. An intent of a service request is determined by accessing a knowledge base, the knowledge base being configured for dynamic discovery of dependencies related to configuration items, the configuration item being among the configuration items, the configuration items being associated with concepts. An intent application programming interface (API) database comprising a specification is accessed, the specification describing parameters of APIs and associations that the APIs have with the concepts of the knowledge base. Associated parameters of an API associated with the intent of the service request are determined based on the intent API database. The API is caused to be executed to accomplish the service request.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate extraction of named entities from document data to support automation applications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an entity extraction component that extracts, using a first machine learning process, a first data entity and a second data entity from document data indicative of a textual information. The computer executable components can further comprise a relation extraction component that determines, using a second machine learning process, a relation between the first data entity and the second data entity to generate a knowledge data graph used to execute an application associated with natural language processing for the document data.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.

Abstract: One embodiment of the invention provides a method for entity extraction, comprising determining a set of part-of-speech (POS) tags based on one or more documents, determining a concept in the one or more documents based on the set of POS tags, and extracting one or more phrases from the one or more documents based on the concept. The method further comprises generating a first set of rules corresponding to the concept based on the one or more phrases, generating a second set of rules specific to a domain based on the first set of rules, and learning, via an adapter grammar, a structure of one or more named entities in the one or more documents based on the second set of rules.