Abstract: The present disclosure relates to the field of laser cutting technology, and discloses a laser cutting method and a laser cutting device for heavy component assisted by micro-nano particle impact reinforcement. According to the disclosure, the method includes the following steps: step 1: placing a workpiece to be cut at a designated cutting station; step 2: simultaneously outputting a micro-nano particle gas-solid mixture and a laser beam, both acting together on the workpiece for cutting; and step 3: spraying the micro-nano particle gas-solid mixture onto the workpiece surface, using high-kinetic-energy micro-nano particles to impact a heat affected zone of a cutting region, so as to detach slag from the workpiece surface; and the device includes a control cabinet and a pump source electrically connected to one side of the control cabinet, a spray head electrically connected to the control cabinet is mounted on a cutting platform.

Abstract: This application provides a method for controlling a virtual object in a virtual scene performed by an electronic device. The method includes: displaying a virtual scene, the virtual scene comprising a virtual object; displaying a first action button and a second action button, and displaying a connection button; and in response to a trigger operation for the connection button, controlling the virtual object to execute a first action associated with the first action button and a section action associated with the second action button.

Abstract: The disclosure provides a dual-optical-path cutting method based on a refraction-reflection laser beam collection system, relating to the laser cutting technology field, including: S1, introducing the laser beam within the optical fiber to a starting point of an internal optical path of a laser; S2, guiding the laser beam into an optical element assembly via an optical path reflecting mirror; S3, performing optical path correction on the laser beam by the optical element assembly; S4, performing total reflection collection on a refracted beam and a reflected beam by a total reflection mirror and a semi-enveloping controllable-angle total reflection mirror; S5, adjusting an incident laser beam by the laser beam of a main optical path, causing a focus thereof to act on a workpiece surface; and S6, using the secondary optical path focusing lens to adjust the refraction-reflection laser beam, causing a focus thereof to act on the workpiece surface.

Abstract: A method, computer system, and a computer program product for code evaluation are provided. Knowledge bases in first and/or second programming languages are searched to find code and associated natural language explanations that correspond to code generated by a machine learning model. Additionally and/or alternatively, the code generated by the machine learning model undergoes code-to-natural language translation by another machine learning model and text summarization via an additional machine learning model. Machine learning semantic comparison of (A) an original prompt submitted to the first machine learning model to generate the code and (B) a natural language explanation obtained via one or more of the above approaches is performed. The machine learning semantic comparison generates a first semantic correctness score which is presented.

Abstract: Validation of responses generated by a language model is provided and includes identifying, via machine learning, first entity action pairs from a first response of a generative language machine learning model. Each of the first entity action pairs includes a respective entity and a respective action associated with the respective entity. A first validation score is determined based on whether the first entity action pairs are present within a first knowledge base and a second set of validation scores is determined based on whether the first entity action pairs are present within a second knowledge base. A first final validation score is generated based on the first validation score and the second set of validation scores. A first recommendation from the first response is presented based on the first final validation score and operations are controlled based on the presented first recommendation.

Abstract: The present disclosure provides a computer-implemented method comprising receiving information regarding an information technology (IT) system, automatically providing context identification information, wherein the context identification information considers both technical metrics and human observations, inputting the information into an artificial intelligence (AI) assistant that analyzes the information, wherein the AI assistant includes multiple AI agents, wherein at least one of the multiple AI agents comprises a large language model (LLM) agent, managing information related to the AI assistant's interactions and decision-making processes, and generating an assessment, from the AI assistant, regarding the IT system. The assessment may comprise a root cause analysis or at least one mitigation step for the IT system.

Abstract: An array substrate includes: multiple gate line groups, multiple data lines, multiple transistors, multiple pixel electrode groups and multiple first common lines. The transistor include a first electrode and a second electrode, and a part of an orthographic projection of the second electrode on a substrate is located between orthographic projections of two gate lines of a same gate line group on the substrate. Each pixel electrode group includes: two pixel electrodes distributed in a first direction. An orthographic projection of the first common line on the substrate is located between the orthographic projections of the two gate lines of the same gate line group on the substrate, and at least part of the orthographic projection of the first common line on the substrate overlaps with at least part of the orthographic projection of the second electrode of the transistor on the substrate.

Abstract: Embodiments of the present invention provide computer implemented methods, computer program products and computer systems. For example, embodiments of the present invention can, in response to receiving a request, collect trace data and specifications for a sequence of requests for normal behavior of a microservice application. Embodiments of the present invention can then generate request contextual features from the collected trace data and specification. Embodiments of the present invention can then train a neural network model based on the generated contextual features; and predicting anomalous behavior of the microservice application using the trained neural network model.

Abstract: An array substrate includes: a base substrate; two or more pixel electrodes having first gaps extending along a first direction and second gaps extending along a second direction, every two pixel electrodes arranged in the first direction forming a pixel electrode group; two or more gate lines, orthographic projection of the gate lines on the base substrate partially overlapping with orthographic projection of the first gaps on the base substrate, and two gate lines being provided in a same one first gap; and a first common electrode line, and in a region, not overlapping with the second gap, of the first gap, the orthographic projection of the first common electrode line on the base substrate passing through an orthographic projection of a gap between two gate lines on the base substrate.

Abstract: A driver circuit includes a logic control component and a plurality of pins coupled to the logic control component. The plurality of pins include a clock pin, a data pin and at least two output pins. The clock pin is configured to receive a clock signal. The data pin is configured to receive, under control of the logic control component, a data signal in a period of an active level of the clock signal. The logic control component is configured to generate a driving control signal corresponding to each output pin according to the data signal, so as to control an electrical signal flowing through the output pin.

Abstract: This application provides a method for recording a performance of a virtual object in a virtual scenario performed by an electronic device. The method includes: displaying a virtual object outfitted with a first performance costume in the virtual scenario; in response to a user operation on the audio control, selecting background audio for the performance; in response to a user operation for the virtual object, playing a first part of background audio and displaying a first performance action performed by the virtual object outfitted with the first performance costume corresponding to the first part of the background audio; and automatically replacing the first performance costume outfitted for the virtual object with a second performance costume outfitted for the virtual object in response to the background audio changing from the first part to a second part corresponding to the second performance costume.

Abstract: An embodiment establishes a service request queue of unresolved service requests. The embodiment receives a new service request corresponding to a client. The embodiment computes a resolution time for the new service request. The embodiment computes a failure likelihood based at least in part on the resolution time computed for the new service request. The embodiment computes a subjective impact metric corresponding to the client based at least in part on the failure likelihood computed for the new service request. The embodiment updates the service request queue to include the new service request, wherein updating the service request queue comprises reprioritizing the set of unresolved service requests to insert the new service request within a particular location of a sequence of the unresolved service requests.

Abstract: Disclosed is a prediction system for a price of raw and fresh milk based on large data, including: collecting and preprocessing original market data to obtain market data; implementing an adaptive clustering algorithm on the market data; constructing a game theory model and introducing Nash equilibrium analysis of mixed strategies to calculate an optimal strategy combination of each market stage; predicting a price of raw and fresh milk using the optimal strategy combination; and modifying the game theory model, predicting the price of raw and fresh milk using the modified game theory model, and visually displaying a prediction result. In the present disclosure, the problems of a fixed algorithm structure mostly adopted in the existing clustering algorithms and lack of a dynamic adjustment mechanism are solved.

Abstract: An information processing method and apparatus, an electronic device and a storage medium are provided. The information processing method includes: in response to receiving a file upload operation in a review interface of a first document, acquiring a second document uploaded by a user as an associated document of the first document; and associating at least one associated person of the first document with the second document for enabling the second document to be reviewed by the at least one associated person, the review interface of the first document being used to display a first content of the first document and a review mark for the first content.

Abstract: Using a failure probability model, a probability of a failure in a first system within a specified time period is predicted. Using an impact model, an impact of the failure on a second system is predicted. Using a resilience model, an impact reduction of the failure is predicted. The probability, the impact, and the impact reduction are mapped into a recommended service level agreement category for the first system, the mapping performed using a classifier model.

Abstract: A virtual object control method is performed by a terminal. The method includes: displaying a virtual environment picture containing a virtual object and an attack control configured to trigger the virtual object to attack; in response to a first trigger operation on the attack control, displaying an action control adjacent the attack control corresponding to a current object action mode associated with the virtual object, the action control being configured to trigger the virtual object to perform an action according to the current object action mode; and in response to a second trigger operation on the attack control, controlling the virtual object to perform a first action according to the action control and perform an attack according to the attack control simultaneously, the first action being different from the attack.

Abstract: A computer-implemented method includes inputting a first input and a second input into a risk assessment machine learning model, such that, in response, the risk assessment machine learning model generates, as an output, a risk-based prediction associated with a change request (CR). The first input includes the CR, and the CR relates to a requested change for an information technology (IT) system. The second input includes a predicted set of documentation textual notes that would accompany implementation of the CR, the predicted set being generated as output from a generative language machine learning model in response to the CR being input into the generative language machine learning model.

Abstract: This application provides a method for playing a performance of a virtual object in a virtual scenario performed by an electronic device. The method includes: displaying a virtual object outfitted with a first performance costume in the virtual scenario; in response to a user operation for the virtual object, playing a first part of background audio and displaying a first performance action performed by the virtual object outfitted with the first performance costume corresponding to the first part of the background audio; and automatically replacing the first performance costume outfitted for the virtual object with a second performance costume outfitted for the virtual object in response to the background audio changing from the first part to a second part corresponding to the second performance costume.