Abstract: A water treatment system of coupling a heat pump with multi-effect evaporation that comprises a lithium bromide absorption-type heat pump circulation system, a multi-effect evaporation circulation system and a compression-type heat pump circulation system is provided. The vapor in a tail-end evaporator of the multi-effect evaporation circulation system is introduced into a generator in the absorption-type heat pump to release heat and condense. A dilute solution in an absorber of the absorption-type heat pump is introduced into a first-effect evaporator to be evaporated by a treated water, and a condensation heat of the vapor generated by the generator of the absorption-type heat pump is recovered by an evaporator of a compressor heat pump, and another air source evaporator absorbs heat from ambient air to supply heat for the generator by a heat pump condenser.

Abstract: A flow-cytometer has an excitation light source generating an excitation light that excites one or more bio-cells in a bio-sample carried by a flow path to luminesce. The flow-cytometer includes a spectrum dispersive element that disperses the luminescent light generated by the bio-sample into a photo-detector array. The flow-cytometer further includes a digital signal processor (DSP) that receives signals from the photo-detector array and generates a self-triggering signal based on the luminescent light generated by the bio-cells in bio-sample. The self-triggering signal triggers data capture in the DSP to improve synchronization with the data generated from signals received from the photo-detector array.

Abstract: A method and apparatus for determining an answer to a question are provided.

Abstract: A question answering method, a method of training a question answering model, a device, and a medium are provided, which relate to a field of artificial intelligence technology, in particular to fields of natural language processing technology, deep learning technology, and knowledge mapping technology. The question answering method includes: obtaining data to be processed, wherein the data to be processed includes a question and candidate answers; performing general semantic understanding on the data to be processed to obtain a general data feature; selecting a target question answering mode from candidate question answering modes based on the general data feature; and processing the general data feature by using the target question answering mode, to obtain a target answer for the question from the candidate answers.

Abstract: The present disclosure discloses a method and an apparatus for generating a vector representation of a knowledge graph, and relates to a field of a field of artificial intelligence technologies. The detailed implementing solution is: obtaining a knowledge graph, the knowledge graph including a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes by a context model based on the context data and the context type.

Abstract: A method of processing data, a device, and a medium are provided, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, natural language technology, speech technology, deep learning and knowledge graph. The method of processing data includes: generating a video feature, a question feature and an answer feature based on acquired video data, acquired question data and acquired candidate answer data; determining a link relationship between the video feature, the question feature and the answer feature; and determining a matching result for the video data, the question data and the candidate answer data based on the link relationship.

Abstract: The present disclosure provides a method for processing intelligent question-answering, an intelligent question-answering system, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies, such as machine learning technologies, natural language processing technologies, or the like. An implementation includes: acquiring an input question and input data information; and based on the question, the data information and a plurality of knowledge bases, deciding an answer to the question by multilayer appreciation using a plurality of understanding module layers.

Abstract: The present disclosure discloses a method for acquiring a structured question-answering (QA) model, a QA method and corresponding apparatuses, and relates to knowledge graph and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: acquiring training samples corresponding to N structured QA database types, the training samples including question samples, information of the structured QA database types and query instruction samples used by the question samples to query structured QA databases of the types, N being an integer greater than 1; and training a text generation model by using the training samples to obtain the structured QA model, wherein the question samples and the information of the structured QA database types are taken as input to the text generation model, and the query instruction samples are taken as target output of the text generation model.

Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the fields such as deep learning, natural language processing, knowledge graph and intelligent voice. The method may include: acquiring a pre-training task set composed of M pre-training tasks, M being a positive integer greater than 1, the pre-training tasks including: N question-answering tasks corresponding to different question-answering forms, N being a positive integer greater than 1 and less than or equal to M; and jointly pre-training the pre-trained model according to the M pre-training tasks.

Abstract: An information search method includes: obtaining search words at least including a question to be searched and obtaining an initial text vector representation of the search words; obtaining a video corresponding to the search words, and obtaining multi-modality vector representations of the video; starting from the initial text vector representation, performing N rounds of interaction between the video and the search words based on the multi-modality vector representations and a text vector representation of the search words of a current round, to generate a target fusion vector representation, where N is an integer greater than or equal to 1; and obtaining target video frames matching the question to be searched by annotating the video based on the target fusion vector representation.

Abstract: The present disclosure provides a multi-system-based intelligent question answering method and apparatus, and a device, relating to the field of artificial intelligence, in particular to the field of knowledge graph. The specific implementation solution is: determining a question category of question information in response to a question answering instruction of a user, wherein the question answering instruction is used to indicate the question information; determining a query engine corresponding to the question category, and invoking multiple question analysis systems corresponding to the query engine according to the query engine; and feeding back answer information to the user when the answer information corresponding to the question information is determined according to a current question analysis system in a process of processing the question information by sequentially using the multiple question analysis systems according to system priorities of the question analysis systems.

Abstract: A decoupling control method for linkage turntable in the technical field of associative motion control mechanisms. Steps of the technical solution are as follows: measure a length L of a hypotenuse of a triangular structure; convert A-axis coordinates input to the system into Z0-axis coordinates according to Z0=L*cos ? and input them on Z0-axis; and in the case of a speed control method, convert the A-axis coordinates into a periodic displacement of Z0 according to ?Z0=L*(cos ?1?cos ?2), and input the displacement to Z0-axis. The beneficial effect is that the horizontal displacement generated by the movement of the Z0-axis is directly integrated into the closed loop of the X-axis by means of measurement combination and the displacement directly calculated by grating scale has high precision and no delay, and it is possible to achieve a more effective control level on this mechanical structure.

Abstract: A system, an apparatus, and a method are provided for a modular flow cytometer with a compact size. In one embodiment, the modular flow cytometry system includes the following: a laser system for emitting laser beams; a flow cell assembly positioned to receive the laser beams at an interrogation region of a fluidics stream where fluoresced cells scatter the laser beams into fluorescent light; a fiber assembly positioned to collect the fluorescent light; and a compact light detection module including a first image array having a transparent block, a plurality of micro-mirrors in a row coupled to a first side of the transparent block, and a plurality of filters in a row coupled to a second side of the transparent block opposite the first side.

Abstract: A system, an apparatus, and a method are provided for a modular flow cytometer with a compact size. In one embodiment, the modular flow cytometry system includes the following: a laser system for emitting laser beams; a flow cell assembly positioned to receive the laser beams at an interrogation region of a fluidics stream where fluoresced cells scatter the laser beams into fluorescent light; a fiber assembly positioned to collect the fluorescent light; and a compact light detection module including a first image array having a transparent block, a plurality of micro-mirrors in a row coupled to a first side of the transparent block, and a plurality of filters in a row coupled to a second side of the transparent block opposite the first side.

Abstract: A flow-cytometer has an excitation light source generating an excitation light that excites one or more bio-cells in a bio-sample carried by a flow path to luminesce. The flow-cytometer includes a spectrum dispersive element that disperses the luminescent light generated by the bio-sample into a photo-detector array. The flow-cytometer further includes a digital signal processor (DSP) that receives signals from the photo-detector array and generates a self-triggering signal based on the luminescent light generated by the bio-cells in bio-sample. The self-triggering signal triggers data capture in the DSP to improve synchronization with the data generated from signals received from the photo-detector array.

Abstract: A system, an apparatus, and a method are provided for a modular flow cytometer with a compact size. In one embodiment, the modular flow cytometry system includes the following: a laser system for emitting laser beams; a flow cell assembly positioned to receive the laser beams at an interrogation region of a fluidics stream where fluoresced cells scatter the laser beams into fluorescent light; a fiber assembly positioned to collect the fluorescent light; and a compact light detection module including a first image array having a transparent block, a plurality of micro-mirrors in a row coupled to a first side of the transparent block, and a plurality of filters in a row coupled to a second side of the transparent block opposite the first side.

Abstract: The present disclosure discloses a method, apparatus, device, and storage medium for matching semantics, relates to the technical fields of knowledge graph, natural language processing, and deep learning. The method may include: acquiring a first text and a second text; acquiring language knowledge related to the first text and the second text; determining a target embedding vector based on the first text, the second text, and the language knowledge; and determining a semantic matching result of the first text and the second text, based on the target embedding vector.

Abstract: The present disclosure discloses a method, apparatus, device, and storage medium for training a model, relates to the technical fields of knowledge graph, natural language processing, and deep learning. The method may include: acquiring a first annotation data set, the first annotation data set including sample data and a annotation classification result corresponding to the sample data; training a preset initial classification model based on the first annotation data set to obtain an intermediate model; performing prediction on the sample data in the first annotation data set using the intermediate model to obtain a prediction classification result corresponding to the sample data; generating a second annotation data set based on the sample data, the corresponding annotation classification result, and the corresponding prediction classification result; and training the intermediate model based on the second annotation data set to obtain a classification model.

Abstract: A flow-cytometer has an excitation light source generating an excitation light that excites one or more bio-cells in a bio-sample carried by a flow path to luminesce. The flow-cytometer includes a spectrum dispersive element that disperses the luminescent light generated by the bio-sample into a photo-detector array. The flow-cytometer further includes a digital signal processor (DSP) that receives signals from the photo-detector array and generates a self-triggering signal based on the luminescent light generated by the bio-cells in bio-sample. The self-triggering signal triggers data capture in the DSP to improve synchronization with the data generated from signals received from the photo-detector array.

Abstract: The present disclosure discloses a question analysis method, a device, a knowledge base question answering system and an electronic equipment. The method includes: analyzing a question to obtain N linearized sequences, N being an integer greater than 1; converting the N linearized sequences into N network topology maps; separately calculating a semantic matching degree of each of the N network topology maps to the question; and selecting a network topology map having a highest semantic matching degree to the question as a query graph of the question from the N network topology maps. According to the technology of the present disclosure, the query graph of the question can be obtained more accurately, and the accuracy of the question to the query graph is improved, thereby improving the accuracy of question analysis.