Abstract: A method for preparing an ultra-fine and uniform acrylamide-based polymer hydrogel filament. The method comprises: formulating a reaction solution of acrylamide-based polymer under ice bath conditions, and drawing the reaction solution into a reaction tube by a syringe; parabolically bending the two ends of the reaction tube upward; hanging the reaction tube for 2 h-8 h, and performing a baking reaction to obtain an acrylamide-based polymer hydrogel; vacuum drying the reaction tube for 4 h-8 h to obtain a dry filament of acrylamide-based polymer; cutting the reaction tube to obtain a plurality of short polymerization tubes having a preset length; pushing the dry filament of acrylamide-based polymer out of the short tube by a stainless steel wire; purifying same in a soaking solution to obtain an expanded filament of acrylamide-based polymer; and drying same to obtain a acrylamide-based polymer hydrogel filament having a preset external diameter.

Abstract: A conveying apparatus includes a conveying catheter. An insulation catheter over the conveying catheter, a conductive catheter over the outside of the insulation catheter, and a support spring connected to the conveying catheter; the support spring includes a second cathode connected to the conveying steel catheter via a conductive wire; the second cathode includes a second anode provided with a separation point, and connected to the conductive catheter through an anode conductive wire; the anode conductive wire and the cathode conductive wire run through the conveying catheter; the second anode, the anode conductive wire and the conductive catheter form a positive path connected to a positive electrode; the second cathode, the cathode conductive wire and the conveying catheter form a negative path, connected to a negative electrode; and the second anode and the second cathode conduct the positive path and the negative path through electrolyte in blood.

Abstract: This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.

Abstract: A blood flow guide device conveying system comprises a blood flow guide device, a push guide wire, a support spring, a distal spring, a friction gasket, a distal marker, a proximal marker, and a complete release marker. The distal spring is provided at a distal end of the push guide wire. The distal marker is provided at a proximal end of the distal spring and configured to indicate a start state or completion state. The blood flow guide device is pre-mounted between the distal marker and the complete release marker. The friction gasket is provided on a distal end of the complete release marker. The proximal marker is provided on a distal end of the friction gasket. The friction gasket is used for stabilizing the blood flow guide device by pushing the push guide wire. The complete release marker is provided at a distal end of the support spring.

Abstract: A method and apparatus for training an information adjustment model of a charging station, an electronic device, and a storage medium are provided. An implementation comprises: acquiring a battery charging request, and determining environment state information corresponding to each charging station in a charging station set; determining, through an initial policy network, target operational information of each charging station in the charging station set for the battery charging request, according to the environment state information; determining, through an initial value network, a cumulative reward expectation corresponding to the battery charging request according to the environment state information and the target operational information; training the initial policy network and the initial value network by using a deep deterministic policy gradient algorithm; and determining the trained policy network as an information adjustment model corresponding to each charging station.

Abstract: There is provided a method for cross-regional talent flow intention analysis, an electronic device, and a storage medium, which relates to technical fields such as big data processing and data statistics and analysis. A specific implementation solution involves: constructing a talent flow intention network based on search data in a network within a preset period of time; and performing cross-regional talent flow intention analysis based on the talent flow intention network to obtain a talent flow intention analysis result.

Abstract: A method and an apparatus for extracting a skill label, and a method and an apparatus for training a candidate phrase classification model are provided. The method for extracting the skill label includes obtaining a plurality of words by performing word segmentation on a sentence to be extracted, and determining a multi-dimensional feature vector of each word; extracting a candidate phrase from the sentence to be extracted; determining a multi-dimensional feature vector of each word in the candidate phrase according to the multi-dimensional feature vector of each word; generating a semantic representation vector of the candidate phrase according to the multi-dimensional feature vector of each word in the candidate phrase; and extracting the skill label from the sentence to be extracted based on the semantic representation vector of the candidate phrase.

Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A graphical user interface is presented that enables a user to edit highlighting to select portions of a conference recording for inclusion in the conference summary. The user can edit highlighting on strings of a transcript and/or on a playback slide bar and the highlighting edits are propagated to both of these interfaces. Video clips selected for inclusion in a summary based on timestamps of strings in a transcript may be extended forward in time to incorporate a nearest I-frame of video. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: An interpretation method for a neural network model is provided. Input data and output data corresponding to the input data of a neural network model are acquired, in which the neural network model includes layers of networks connected sequentially, and each layer of network corresponds to a plurality of candidate concepts. A key inference path through which the output data is obtained by the neural network model based on the input data are acquired, in which the key inference path includes target concepts respectively used by the layers of networks when the input data is processed in the neural network model, in which the target concepts are selected from the plurality of candidate concepts. Interpretation information corresponding to the layers of networks is determined according to the target concepts corresponding to the layers of networks, respectively. The key inference path and the interpretation information are output.

Abstract: Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

Abstract: The present disclosure relates to image processing systems and methods. The method may include obtaining a first image and a second image. The first image may be captured by a first camera lens of a panorama device and the second image may be captured by a second camera lens of the panorama device. The method may also include performing an interpolation based on a center of the first image to obtain a first rectangular image, and performing an interpolation based on a center of the second image to obtain a second rectangular image. The method may further include generating a fused image based on the first rectangular image and the second rectangular image, and mapping the fused image to a spherical panorama image.

Abstract: A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

Abstract: A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A graphical user interface is presented that enables a user to edit highlighting to select portions of a conference recording for inclusion in the conference summary. The user can edit highlighting on strings of a transcript and/or on a playback slide bar and the highlighting edits are propagated to both of these interfaces. Video clips selected for inclusion in a summary based on timestamps of strings in a transcript may be extended forward in time to incorporate a nearest I-frame of video. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.

Abstract: A privacy protection method for the electronic device includes: starting face change detection, where the face change detection is continuously detecting, in a current unlocking period, whether a face in front of a display of the electronic device changes; after starting the face change detection, detecting an operation of starting a first private application; and in response to the operation and determining that a result of the face change detection is that the current face does not change, displaying first private content corresponding to the first private application; or in response to the operation and determining that a result of the face change detection is that the current face changes, displaying first non-private content, where the first non-private content does not include first private content.

Abstract: The present disclosure relates to a method for preventing and treating or diagnosing coronavirus infection. SARS-CoV2 lung infection animal models are established using rhesus macaques and human ACE2 transgenic mice, innate immune characteristics that occur in the body in the early stage of SARS-CoV2 infection are explored, and S100A8 protein is found as the root cause initiating the inflammatory storm and becomes an immune indicator for early diagnosis of a patient with SARS-CoV2 infection. Then inhibition of the function of S100A8/S100A9 dimer finally inhibits the virus titer in tissues, thereby decreasing the inflammation level, which proves that a dimer inhibitor can be used as an effective drug for preventing and treating coronavirus infection.

Abstract: The present disclosure provides a method of processing data, a device and a computer-readable storage medium, which relates to a technical field of artificial intelligence, and in particular to fields of intelligent search and deep learning. The method includes: generating a resume heterogeneous graph and a job heterogeneous graph; determining a first matching feature representation for the resume and the job profile based on first and second node feature representations for a first node in the resume heterogeneous graph and a second node in the job heterogeneous graph respectively; determining a second matching feature representation for the resume and the job profile based on first and second graph feature representations for the resume heterogeneous graph and the job heterogeneous graph respectively; and determining a similarity between the resume and the job profile based on the first and second matching feature representations.

Abstract: A hierarchical data acquisition system and method applied to a marine information network are provided. Multiple sensor nodes are arranged in clusters, each of the clusters includes a cluster head node and multiple ordinary nodes. The multiple ordinary nodes acquire data information of a seafloor and transmit the acquired data information to the cluster head node, and the cluster head node aggregate the data and transmits the aggregated data to an autonomous underwater vehicle, reducing energy consumption of each of the sensor nodes, prolonging service lives of sensors of a data acquisition layer, and improving data acquisition efficiency of a data acquisition layer. In addition, after each of data acquisition periods, a sensor node in each of the clusters is selected as a cluster head node in a next data acquisition cycle. Cluster head nodes are continuously updated in cycles.

Abstract: A method for augmenting a two-stage hand gesture input comprises receiving hand tracking data for a hand of a user. A gesture recognition machine recognizes that the user has performed a first-stage gesture based on one or more parameters derived from the received hand tracking data satisfying first-stage gesture criteria. An affordance cueing a second-stage gesture is provided to the user responsive to recognizing the first-stage gesture. The gesture recognition machine recognizes that the user has performed the second-stage gesture based on one or more parameters derived from the received hand tracking data satisfying second-stage gesture criteria. A graphical user interface element is displayed responsive to recognizing the second-stage gesture.

Abstract: The present disclosure relates to a method for preventing and treating or diagnosing coronavirus infection. SARS-CoV2 lung infection animal models are established using rhesus macaques and human ACE2 transgenic mice, innate immune characteristics that occur in the body in the early stage of SARS-CoV2 infection are explored, and S100A8 protein is found as the root cause initiating the inflammatory storm and becomes an immune indicator for early diagnosis of a patient with SARS-CoV2 infection. Then inhibition of the function of S100A8/S100A9 dimer finally inhibits the virus titer in tissues, thereby decreasing the inflammation level, which proves that a dimer inhibitor can be used as an effective drug for preventing and treating coronavirus infection.