6results about How to "Save modification time" patented technology

The invention discloses a writing retouching method, system and device and a storage medium. The method comprises the steps of obtaining a to-be-retouching text of a target user, historical reading data in a specified time period and historical writing data; determining the writing style of the target user according to the to-be-embellished text, the historical reading data and the historical writing data of the target user; generating a personalized writing template based on the writing style and the to-be-polished text; and inputting the personalized writing template and the to-be-polished text into a trained writing model, and outputting a target polished text corresponding to the to-be-polished text by the trained writing model by taking the personalized writing template as a cue word. According to the method, the personalized writing template is generated based on the historical reading data and the historical writing data of the target user, then the polishing text is generated based on the personalized writing template, the polishing file better fitting the writing style of the target user is obtained, the modification time of the target user on the generated polishing text is shortened, and the academic writing efficiency is improved.

The present invention discloses a writing polishing method, system, device and storage medium, which obtains the target user's text to be polished, historical reading data and historical writing data within a specified time period; determines the target user's writing style based on the target user's text to be polished, historical reading data and historical writing data; generates a personalized writing template based on the writing style and the text to be polished; inputs the personalized writing template and the text to be polished into a trained writing model, and the trained writing model outputs a target polishing text corresponding to the text to be polished using the personalized writing template as a prompt word. The present invention generates a personalized writing template based on the target user's historical reading data and historical writing data, and then generates a polishing text based on the personalized writing template, so as to obtain a polishing file that is more in line with the target user's writing style, thereby reducing the target user's modification time for the generated polishing text and improving the efficiency of academic writing.

The application provides a kind of intelligent structured medical record generation method and system based on multimodal doctor-patient interaction, which comprises: real-time acquisition of dialogue voice and transcription into text sequence, while recognizing visual attention entity by listening to mouse operation in electronic medical record system.Based on the history of visual attention entity and text sequence, a logical demonstration track is constructed, and an implicit reward function is derived from it using a reverse reinforcement learning algorithm. Use the function to calculate the action reward value of each combination of visual attention entity and dialogue text, select the highest value combination as the optimal alignment strategy to determine the timing causal relationship. Map the entity and text to the medical knowledge graph, extract the shortest semantic path as the implicit clinical reasoning chain, and generate structured electronic medical record. The application deduces the diagnosis and treatment decision logic from the doctor's multimodal behavior through reverse reinforcement learning, solving the technical problem that traditional methods cannot establish the internal causal relationship between the doctor's visual attention focus and spoken content.

The present invention discloses an interface regression testing method and device, and relates to the field of computer technology. A specific implementation of the method includes: obtaining the current name of the interface; obtaining a regression test script from a code hosting server; calling an execution script, updating the name of the interface in the regression test script to the current name; executing the updated regression test script, and performing regression testing on the interface. This implementation can improve the efficiency of interface regression testing.

The present invention proposes a method, system, device and storage medium for modifying part information based on CAE, wherein the method includes: using CAE analysis pre-processing software to import a CAE model whose part information needs to be modified; calling a part information modification data table, wherein the part information modification data table includes the identification ID of each part, the modified first thickness value and the modified first material information; selecting an ID from the part information modification data table as the ID of the target part whose part information needs to be modified; locating the target part in the CAE model according to the ID of the target part; and modifying the thickness value and material information of the target part in the CAE model using the first thickness value and the first material information corresponding to the ID of the target part. Therefore, the method for modifying part information based on CAE in the embodiment of the present invention realizes the automatic modification of part thickness value and material information, greatly shortens the modification time, and at the same time, reduces the probability of error, and ensures accurate modification and updating.

The invention relates to a test program generation method and device, an electronic device and a storage medium, and the method comprises the steps that multiple pieces of second index information selected from multiple pieces of first index information corresponding to a currently executed test program are acquired, and the first index information is generated after a first CSV file corresponding to the test program is loaded to a preset table control; in all first codes of a first code array corresponding to the first CSV file, detecting a first code currently corresponding to each piece of second index information to obtain a plurality of second codes; on the basis of the second codes and correction information corresponding to all the second test subprograms, third codes associated with all the second test subprograms are generated, the first code array is updated according to the third codes, and a second code array is generated; and based on the second coding array, correcting and updating the first CSV file to generate a second CSV file corresponding to the target test program, and initializing and generating the target test program according to the second CSV file.