Abstract: The present invention provides a ventilator control method a signal sensing module acquires a physiological signal feature of a user, a calibration and learning module learns the physiological signal feature of the user and outputs a drive signal after learning, and a main control module controls the operation efficiency of an air supply apparatus and opening and closing of a servo valve of a first servo valve box according to the drive signal, thus forming different operation modes. A ventilator performing the control method is provided. The present invention resolves the problem that the conventional ventilator is not compatible with the sleep apnea type of the user, and the problem that a single operation mode damages a patient's respiratory function. In the present invention, one ventilator is used to safely resolve various types of sleep apnea problems, greatly reducing costs of various types of ventilators purchased for the users.

Abstract: The present invention provides a ventilator control method a signal sensing module acquires a physiological signal feature of a user, a calibration and learning module learns the physiological signal feature of the user and outputs a drive signal after learning, and a main control module controls the operation efficiency of an air supply apparatus and opening and closing of a servo valve of a first servo valve box according to the drive signal, thus forming different operation modes. A ventilator performing the control method is provided. The present invention resolves the problem that the conventional ventilator is not compatible with the sleep apnea type of the user, and the problem that a single operation mode damages a patient's respiratory function. In the present invention, one ventilator is used to safely resolve various types of sleep apnea problems, greatly reducing costs of various types of ventilators purchased for the users.

Abstract: A method for evaluating a large model, an electronic device and a computer readable storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of large models technology and deep learning technology. The method includes: evaluating a response information of each of M large language models for an input instruction based on a preset evaluation rule, so as to obtain a first evaluation information for each response information, where M is a positive integer greater than 1; evaluating, in response to the first evaluation information for the M large language models being consistent with each other, each response information in a plurality of evaluation dimensions, so as to obtain a second evaluation information for each response information; and determining an evaluation result representing a responsiveness of each large language model, according to the second evaluation information for each response information.

Abstract: The disclosure relates to a polyol composition, a corresponding polyurethane reaction system and a polyurethane foam prepared therefrom. The polyol composition includes: B1) an EO- and/or PO-based polyether polyol having a functionality of 2-6 and a weight-average molecular weight of 3000-12000 g/mol; B2) a PO- and/or EO-terminated polyarea polyol having a functionality of 2-4, and a weight-average molecular weight of 3000-8000 g/mol; optionally B3) a polyester polyol having a functionality of 2-4, and a weight-average molecular weight of 1000-1800 g/mol; and B4) at least one ?-dicarbonyl compound.

Abstract: A dilation stent is used to support the genioglossus muscle, and includes a sleeve, a central tube and a stent body, the central tube passes through and is sleeved in the sleeve, and the stent body is connected to an end of the sleeve; and several support arms are provided between the sleeve and the stent body, and the support arms are of a collapsible structure, with one end of each support arm being connected to the sleeve and the central tube, and the other end thereof being connected to the stent body. When the stent contracts, the support arms are collapsed, and the stent body is retracted at the end of the sleeve; and when the stent expands, the sleeve pushes the support arms to splay out, and thus the stent body spreads out.

Abstract: A nasal breathing and ventilation device, includes ventilation tubes. One end of each ventilation tube is provided with a nasal dilator. Each nasal dilator includes a nasal dilator channel and a plurality of dilator rings. One end of each nasal dilator channel is provided with a through hole. Each nasal dilator is supported and fixed in the nasal cavity by means of the dilator rings thereof, and is not easy to fall out. The end of each nasal dilator channel away from the through hole is in communication with each ventilation tube. The tube wall at the end of each ventilation tube close to the nasal dilator is provided with ventilation holes. The end of each ventilation tube away from the nasal dilator is connected to a ventilator, and the ventilator conveys air into the nasal cavity at a certain pressure.

Abstract: A nasal breathing and ventilation device, includes ventilation tubes. One end of each ventilation tube is provided with a nasal dilator. Each nasal dilator includes a nasal dilator channel and a plurality of dilator rings. One end of each nasal dilator channel is provided with a through hole. Each nasal dilator is supported and fixed in the nasal cavity by means of the dilator rings thereof, and is not easy to fall out. The end of each nasal dilator channel away from the through hole is in communication with each ventilation tube. The tube wall at the end of each ventilation tube close to the nasal dilator is provided with ventilation holes. The end of each ventilation tube away from the nasal dilator is connected to a ventilator, and the ventilator conveys air into the nasal cavity at a certain pressure.

Abstract: A method for initiating the polymerization of amino acid N-carboxyanhydrides in the water phase, that is, a method for polymerizing amino acid N-carboxyanhydrides, which comprises adding, in the presence of an initiator, one or more amino acid N-carboxyanhydrides in a mixed solution of water or water and an organic solvent for reaction to produce a polyamino acid. The initiator is used to initiate the polymerization of the amino acid N-carboxyanhydrides to generate a polyamino acid, and the organic solvent is selected from among the following group: acetonitrile, pyridine, N,N-dimethylformamide, tetrahydrofuran or dimethylsulfoxide. The described method can produce a polyamino acid in a short period of time at a high yield and by using a means in which polymerization can be controlled, and can be used to prepare a conjugate of functional molecules, such as proteins, polypeptides, drugs, and fluorescent dyes, and a polyamino acid.

Abstract: Disclosed are a method for preparing a carboxyl cyclic acid anhydride and a prepared product thereof. The disclosed method includes the steps of reacting a compound of formula (I) with a cyclization reagent to produce the compound of formula (II) and an acid, and using an epoxy compound as an acid scavenger. The disclosed method is low in cost, and has low requirements for reagents, places and equipment required for experiments, mild conditions, a wide application range of substrates and a high tolerance of functional groups. The synthesis route can recycle some solvents and other high value-added by-products, with less waste liquid discharge and easy amplification. It also has extremely high industrial and academic value, and can greatly promote the rapid mass production and application of products such as polyamino acid, polyhydroxy acid (polyester), and polymercaptic acid (polysulfide).

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: The present disclosure provides a method for visual question answering, which relates to fields of computer vision and natural language processing. The method includes: acquiring an input image and an input question; detecting visual information and position information of each of at least one text region in the input image; determining semantic information and attribute information of each of the at least one text region based on the visual information and the position information; determining a global feature of the input image based on the visual information, the position information, the semantic information, and the attribute information; determining a question feature based on the input question; and generating a predicted answer for the input image and the input question based on the global feature and the question feature. The present disclosure further provides a device for visual question answering, a computer device and a medium.

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: System and method are disclosed for providing authentication of a terminal device. One embodiment includes a method implemented by a first terminal device. The method may include receiving first location information and receiving a first predetermined signal. The method may also include transmitting status information and the first location information to a server upon receiving the first predetermined signal to allow the server to compare the first location information with second location information received from a second terminal device and to allow the server to transmit the status information to the second terminal device. The status information may indicate that the first terminal device is authenticated and the first location information may indicate a current location of the first terminal device.

Abstract: System and method are disclosed for providing authentication of a terminal device. One embodiment includes a method implemented by a first terminal device. The method may include receiving first location information and receiving a first predetermined signal. The method may also include transmitting status information and the first location information to a server upon receiving the first predetermined signal to allow the server to compare the first location information with second location information received from a second terminal device and to allow the server to transmit the status information to the second terminal device. The status information may indicate that the first terminal device is authenticated and the first location information may indicate a current location of the first terminal device.

Abstract: The disclosure may provide a method for obtaining a document layout, an electronic device, and a storage medium. The method may include: obtaining a plurality of characters and character information of each of the plurality of characters in a target document; generating a character fully-connected graph based on the plurality of characters and the character information of each of the plurality of characters; obtaining a spatial semantic feature of each of the plurality of characters; generating types of character vertices based on the character information of each of the plurality of characters; generating types of edges based on the spatial semantic feature of each of the plurality of characters, and the character information of each of the plurality of characters; and obtaining a document layout of the target document based on the types of the character vertices and the types of the edges.

Abstract: The disclosure provides a method and an apparatus for extracting content from a document, an electronic device, and a storage medium, which relates to the field of artificial intelligence (AI) technologies such as natural language processing (NLP), deep learning (DL), knowledge graph (KG). The detailed implementation scheme is: obtaining the document; performing anchor search on the document to obtain anchor information corresponding to the document; determining region information of content to be extracted based on the anchor information; and extracting the content to be extracted from the document based on the region information.

Abstract: The present disclosure provides a form information extracting method, apparatus, electronic device and storage medium and relates to the field of artificial intelligence such as natural language processing, computer vision and deep learning. The method includes: for a form to be processed, obtaining feature information of characters in the form, respectively; determining types of the characters respectively and determining a reading order of the characters according to the feature information; extracting a predetermined type of information content from the form according to the types and the reading order of the characters. The solution of the present disclosure may be applied to save the manpower and time costs, and improve the information-extracting efficiency and the accuracy of extraction results.

Abstract: A method of comparing documents, an electronic device, and a readable storage medium are provided, which relate to the field of data processing technology, and specifically to the field of big data technology. In the present disclosure, an area division is performed on each document of two documents to be compared, according to a document layout of each document, so as to obtain at least two sets of comparison units. Each set of comparison units comprises comparison units for the two documents respectively and the comparison units for the two documents correspond to each other. Thus, a content comparison may be performed on between comparison units of each of the at least two sets, so as to obtain a content comparison result for each set of comparison units as a comparison result for the two documents.

Abstract: The present disclosure provides a method for visual question answering, which relates to fields of computer vision and natural language processing. The method includes: acquiring an input image and an input question; detecting visual information and position information of each of at least one text region in the input image; determining semantic information and attribute information of each of the at least one text region based on the visual information and the position information; determining a global feature of the input image based on the visual information, the position information, the semantic information, and the attribute information; determining a question feature based on the input question; and generating a predicted answer for the input image and the input question based on the global feature and the question feature. The present disclosure further provides a device for visual question answering, a computer device and a medium.

Abstract: The present disclosure provides a searching method and apparatus, a device and a non-volatile computer storage medium. According to embodiments of the present disclosure, it is possible to obtain a search intention according to the obtained query keyword, and then obtain at least one scenario detail according to the search intention, so that it is possible to output the at least one scenario detail. Since the same search intention might correspond to different scenario demands, directly providing the user with several scenario details corresponding to the search intention can effectively meet differentiated demands when the user uses the same query keyword to search under different scenarios.